From ce4fd6220287a7fee33accb817f294ab0353ac9d Mon Sep 17 00:00:00 2001 From: Joshua Lochner Date: Tue, 5 Mar 2024 00:42:37 +0200 Subject: [PATCH 01/10] Update tokenizer playground dependencies (#599) * Update transformers.js version * Update Token.jsx --- .../tokenizer-playground/package-lock.json | 10 ++++---- examples/tokenizer-playground/package.json | 2 +- .../src/components/Token.jsx | 24 ++++++++++--------- 3 files changed, 19 insertions(+), 17 deletions(-) diff --git a/examples/tokenizer-playground/package-lock.json b/examples/tokenizer-playground/package-lock.json index 9a0f038a0..1c1dd0f4e 100644 --- a/examples/tokenizer-playground/package-lock.json +++ b/examples/tokenizer-playground/package-lock.json @@ -8,7 +8,7 @@ "name": "tokenizer-playground", "version": "0.0.0", "dependencies": { - "@xenova/transformers": "^2.15.0", + "@xenova/transformers": "^2.15.1", "react": "^18.2.0", "react-dom": "^18.2.0" }, @@ -1086,11 +1086,11 @@ } }, "node_modules/@xenova/transformers": { - "version": "2.15.0", - "resolved": "https://registry.npmjs.org/@xenova/transformers/-/transformers-2.15.0.tgz", - "integrity": "sha512-e8pt+yLGSmwZnQR5Q/fq1NJ6fPr3+WKqxh/jF2PzfXFZ2KZsDdFQeCVlk8AnOADP4Aimlqy+Wp/xuws96/pX9A==", + "version": "2.15.1", + "resolved": "https://registry.npmjs.org/@xenova/transformers/-/transformers-2.15.1.tgz", + "integrity": "sha512-HX3kUZbr9v90PS/D2SyffGiFYQ6wQMbzwC1uLuCOA6nRSFOdr0TDnOTxfjS0RB6Phn6ThCTE1vX4n+NUsuobQg==", "dependencies": { - "@huggingface/jinja": "^0.1.0", + "@huggingface/jinja": "^0.1.3", "onnxruntime-web": "1.14.0", "sharp": "^0.32.0" }, diff --git a/examples/tokenizer-playground/package.json b/examples/tokenizer-playground/package.json index a96f037b9..b79938781 100644 --- a/examples/tokenizer-playground/package.json +++ b/examples/tokenizer-playground/package.json @@ -10,7 +10,7 @@ "preview": "vite preview" }, "dependencies": { - "@xenova/transformers": "^2.15.0", + "@xenova/transformers": "^2.15.1", "react": "^18.2.0", "react-dom": "^18.2.0" }, diff --git a/examples/tokenizer-playground/src/components/Token.jsx b/examples/tokenizer-playground/src/components/Token.jsx index 579b000f9..8987eb9ce 100644 --- a/examples/tokenizer-playground/src/components/Token.jsx +++ b/examples/tokenizer-playground/src/components/Token.jsx @@ -1,3 +1,5 @@ +import { Fragment } from 'react'; + const COLOURS = [ 'bg-purple-300', 'bg-green-300', @@ -7,15 +9,15 @@ const COLOURS = [ ] export function Token({ text, position, margin }) { - const isNormal = text !== '\n' - - return ( - isNormal ? ( - - {text} - ) :
- ) + const textWithLineBreaks = text.split('\n').map((line, index, array) => ( + + {line} + {index !== array.length - 1 &&
} + + )); + return ( + {textWithLineBreaks} + ) } \ No newline at end of file From d525c8bfd4c31a0953b2195b6242768b5519d296 Mon Sep 17 00:00:00 2001 From: Joshua Lochner Date: Tue, 5 Mar 2024 00:52:12 +0200 Subject: [PATCH 02/10] Add Claude 3 + Mistral to tokenizer playground --- examples/tokenizer-playground/src/App.jsx | 2 ++ 1 file changed, 2 insertions(+) diff --git a/examples/tokenizer-playground/src/App.jsx b/examples/tokenizer-playground/src/App.jsx index c6546d20f..9105e0f20 100644 --- a/examples/tokenizer-playground/src/App.jsx +++ b/examples/tokenizer-playground/src/App.jsx @@ -70,6 +70,8 @@ function App() { + + From 55a4a69491f2e69521fe83bff0d03afd6da0e051 Mon Sep 17 00:00:00 2001 From: Joshua Lochner Date: Tue, 5 Mar 2024 17:03:25 +0200 Subject: [PATCH 03/10] Check for existence of `onnx_env.wasm` before updating wasmPaths (#621) --- src/env.js | 17 +++++++++-------- 1 file changed, 9 insertions(+), 8 deletions(-) diff --git a/src/env.js b/src/env.js index e4e6e2882..a912dbe29 100644 --- a/src/env.js +++ b/src/env.js @@ -53,14 +53,15 @@ const localModelPath = RUNNING_LOCALLY ? path.join(__dirname, DEFAULT_LOCAL_MODEL_PATH) : DEFAULT_LOCAL_MODEL_PATH; -// Set path to wasm files. This is needed when running in a web worker. -// https://onnxruntime.ai/docs/api/js/interfaces/Env.WebAssemblyFlags.html#wasmPaths -// We use remote wasm files by default to make it easier for newer users. -// In practice, users should probably self-host the necessary .wasm files. -onnx_env.wasm.wasmPaths = RUNNING_LOCALLY - ? path.join(__dirname, '/dist/') - : `https://cdn.jsdelivr.net/npm/@xenova/transformers@${VERSION}/dist/`; - +if (onnx_env?.wasm) { + // Set path to wasm files. This is needed when running in a web worker. + // https://onnxruntime.ai/docs/api/js/interfaces/Env.WebAssemblyFlags.html#wasmPaths + // We use remote wasm files by default to make it easier for newer users. + // In practice, users should probably self-host the necessary .wasm files. + onnx_env.wasm.wasmPaths = RUNNING_LOCALLY + ? path.join(__dirname, '/dist/') + : `https://cdn.jsdelivr.net/npm/@xenova/transformers@${VERSION}/dist/`; +} /** * Global variable used to control execution. This provides users a simple way to configure Transformers.js. From 2e53f51ce7d899699989de2c2a69d478bd20c20c Mon Sep 17 00:00:00 2001 From: Joshua Lochner Date: Tue, 5 Mar 2024 17:04:08 +0200 Subject: [PATCH 04/10] Update `@huggingface/jinja` -> 0.2.0 (#627) --- package-lock.json | 8 ++++---- package.json | 2 +- 2 files changed, 5 insertions(+), 5 deletions(-) diff --git a/package-lock.json b/package-lock.json index bbfa7b67d..a2e839770 100644 --- a/package-lock.json +++ b/package-lock.json @@ -9,7 +9,7 @@ "version": "2.15.1", "license": "Apache-2.0", "dependencies": { - "@huggingface/jinja": "^0.1.3", + "@huggingface/jinja": "^0.2.0", "onnxruntime-web": "1.14.0", "sharp": "^0.32.0" }, @@ -745,9 +745,9 @@ } }, "node_modules/@huggingface/jinja": { - "version": "0.1.3", - "resolved": "https://registry.npmjs.org/@huggingface/jinja/-/jinja-0.1.3.tgz", - "integrity": "sha512-9KsiorsdIK8+7VmlamAT7Uh90zxAhC/SeKaKc80v58JhtPYuwaJpmR/ST7XAUxrHAFqHTCoTH5aJnJDwSL6xIQ==", + "version": "0.2.0", + "resolved": "https://registry.npmjs.org/@huggingface/jinja/-/jinja-0.2.0.tgz", + "integrity": "sha512-vI9dvAyQAsyd2WEUtxSTfb+8cs+Ktb+eWUNfEnD2g/J6iaS450bthOp9iLzV80XzvuVe7EosmflhyAvigmRFuw==", "engines": { "node": ">=18" } diff --git a/package.json b/package.json index c910b1ed4..ff91eab0e 100644 --- a/package.json +++ b/package.json @@ -40,7 +40,7 @@ "dependencies": { "onnxruntime-web": "1.14.0", "sharp": "^0.32.0", - "@huggingface/jinja": "^0.1.3" + "@huggingface/jinja": "^0.2.0" }, "optionalDependencies": { "onnxruntime-node": "1.14.0" From 5f572241b4dee3622dc31584ad682abf496fef2f Mon Sep 17 00:00:00 2001 From: Joshua Lochner Date: Wed, 6 Mar 2024 13:08:28 +0200 Subject: [PATCH 05/10] Add support for `UniSpeech` and `UniSpeechSat` models (#624) * Add support for `UniSpeech` and `UniSpeechSat` models * Remove listed support for unispeech STT models * Align unispeech w/ existing wav2vec logic --- README.md | 2 + docs/snippets/6_supported-models.snippet | 2 + scripts/convert.py | 16 +++- scripts/supported_models.py | 50 +++++++++++ src/models.js | 103 ++++++++++++++++++++++- src/pipelines.js | 2 + 6 files changed, 173 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 4fcaf68f5..a5e51fe1c 100644 --- a/README.md +++ b/README.md @@ -341,6 +341,8 @@ You can refine your search by selecting the task you're interested in (e.g., [te 1. **[T5v1.1](https://huggingface.co/docs/transformers/model_doc/t5v1.1)** (from Google AI) released in the repository [google-research/text-to-text-transfer-transformer](https://github.com/google-research/text-to-text-transfer-transformer/blob/main/released_checkpoints.md#t511) by Colin Raffel and Noam Shazeer and Adam Roberts and Katherine Lee and Sharan Narang and Michael Matena and Yanqi Zhou and Wei Li and Peter J. Liu. 1. **[Table Transformer](https://huggingface.co/docs/transformers/model_doc/table-transformer)** (from Microsoft Research) released with the paper [PubTables-1M: Towards Comprehensive Table Extraction From Unstructured Documents](https://arxiv.org/abs/2110.00061) by Brandon Smock, Rohith Pesala, Robin Abraham. 1. **[TrOCR](https://huggingface.co/docs/transformers/model_doc/trocr)** (from Microsoft), released together with the paper [TrOCR: Transformer-based Optical Character Recognition with Pre-trained Models](https://arxiv.org/abs/2109.10282) by Minghao Li, Tengchao Lv, Lei Cui, Yijuan Lu, Dinei Florencio, Cha Zhang, Zhoujun Li, Furu Wei. +1. **[UniSpeech](https://huggingface.co/docs/transformers/model_doc/unispeech)** (from Microsoft Research) released with the paper [UniSpeech: Unified Speech Representation Learning with Labeled and Unlabeled Data](https://arxiv.org/abs/2101.07597) by Chengyi Wang, Yu Wu, Yao Qian, Kenichi Kumatani, Shujie Liu, Furu Wei, Michael Zeng, Xuedong Huang. +1. **[UniSpeechSat](https://huggingface.co/docs/transformers/model_doc/unispeech-sat)** (from Microsoft Research) released with the paper [UNISPEECH-SAT: UNIVERSAL SPEECH REPRESENTATION LEARNING WITH SPEAKER AWARE PRE-TRAINING](https://arxiv.org/abs/2110.05752) by Sanyuan Chen, Yu Wu, Chengyi Wang, Zhengyang Chen, Zhuo Chen, Shujie Liu, Jian Wu, Yao Qian, Furu Wei, Jinyu Li, Xiangzhan Yu. 1. **[Vision Transformer (ViT)](https://huggingface.co/docs/transformers/model_doc/vit)** (from Google AI) released with the paper [An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale](https://arxiv.org/abs/2010.11929) by Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, Jakob Uszkoreit, Neil Houlsby. 1. **[ViTMatte](https://huggingface.co/docs/transformers/model_doc/vitmatte)** (from HUST-VL) released with the paper [ViTMatte: Boosting Image Matting with Pretrained Plain Vision Transformers](https://arxiv.org/abs/2305.15272) by Jingfeng Yao, Xinggang Wang, Shusheng Yang, Baoyuan Wang. 1. **[VITS](https://huggingface.co/docs/transformers/model_doc/vits)** (from Kakao Enterprise) released with the paper [Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech](https://arxiv.org/abs/2106.06103) by Jaehyeon Kim, Jungil Kong, Juhee Son. diff --git a/docs/snippets/6_supported-models.snippet b/docs/snippets/6_supported-models.snippet index ed2c1bdff..eed000be3 100644 --- a/docs/snippets/6_supported-models.snippet +++ b/docs/snippets/6_supported-models.snippet @@ -76,6 +76,8 @@ 1. **[T5v1.1](https://huggingface.co/docs/transformers/model_doc/t5v1.1)** (from Google AI) released in the repository [google-research/text-to-text-transfer-transformer](https://github.com/google-research/text-to-text-transfer-transformer/blob/main/released_checkpoints.md#t511) by Colin Raffel and Noam Shazeer and Adam Roberts and Katherine Lee and Sharan Narang and Michael Matena and Yanqi Zhou and Wei Li and Peter J. Liu. 1. **[Table Transformer](https://huggingface.co/docs/transformers/model_doc/table-transformer)** (from Microsoft Research) released with the paper [PubTables-1M: Towards Comprehensive Table Extraction From Unstructured Documents](https://arxiv.org/abs/2110.00061) by Brandon Smock, Rohith Pesala, Robin Abraham. 1. **[TrOCR](https://huggingface.co/docs/transformers/model_doc/trocr)** (from Microsoft), released together with the paper [TrOCR: Transformer-based Optical Character Recognition with Pre-trained Models](https://arxiv.org/abs/2109.10282) by Minghao Li, Tengchao Lv, Lei Cui, Yijuan Lu, Dinei Florencio, Cha Zhang, Zhoujun Li, Furu Wei. +1. **[UniSpeech](https://huggingface.co/docs/transformers/model_doc/unispeech)** (from Microsoft Research) released with the paper [UniSpeech: Unified Speech Representation Learning with Labeled and Unlabeled Data](https://arxiv.org/abs/2101.07597) by Chengyi Wang, Yu Wu, Yao Qian, Kenichi Kumatani, Shujie Liu, Furu Wei, Michael Zeng, Xuedong Huang. +1. **[UniSpeechSat](https://huggingface.co/docs/transformers/model_doc/unispeech-sat)** (from Microsoft Research) released with the paper [UNISPEECH-SAT: UNIVERSAL SPEECH REPRESENTATION LEARNING WITH SPEAKER AWARE PRE-TRAINING](https://arxiv.org/abs/2110.05752) by Sanyuan Chen, Yu Wu, Chengyi Wang, Zhengyang Chen, Zhuo Chen, Shujie Liu, Jian Wu, Yao Qian, Furu Wei, Jinyu Li, Xiangzhan Yu. 1. **[Vision Transformer (ViT)](https://huggingface.co/docs/transformers/model_doc/vit)** (from Google AI) released with the paper [An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale](https://arxiv.org/abs/2010.11929) by Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, Jakob Uszkoreit, Neil Houlsby. 1. **[ViTMatte](https://huggingface.co/docs/transformers/model_doc/vitmatte)** (from HUST-VL) released with the paper [ViTMatte: Boosting Image Matting with Pretrained Plain Vision Transformers](https://arxiv.org/abs/2305.15272) by Jingfeng Yao, Xinggang Wang, Shusheng Yang, Baoyuan Wang. 1. **[VITS](https://huggingface.co/docs/transformers/model_doc/vits)** (from Kakao Enterprise) released with the paper [Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech](https://arxiv.org/abs/2106.06103) by Jaehyeon Kim, Jungil Kong, Juhee Son. diff --git a/scripts/convert.py b/scripts/convert.py index 5b8620471..d53843983 100644 --- a/scripts/convert.py +++ b/scripts/convert.py @@ -103,6 +103,18 @@ 'per_channel': False, 'reduce_range': False, }, + 'wav2vec2': { + 'per_channel': False, + 'reduce_range': False, + }, + 'unispeech': { + 'per_channel': False, + 'reduce_range': False, + }, + 'unispeech-sat': { + 'per_channel': False, + 'reduce_range': False, + }, } MODELS_WITHOUT_TOKENIZERS = [ @@ -110,6 +122,8 @@ 'wav2vec2-bert', 'wavlm', 'hubert', + 'unispeech', + 'unispeech-sat', ] @@ -386,7 +400,7 @@ def main(): **get_main_export_kwargs(config, "automatic-speech-recognition") ) - elif config.model_type in ('wav2vec2', 'wav2vec2-bert', 'hubert'): + elif config.model_type in ('wav2vec2', 'wav2vec2-bert', 'hubert', 'unispeech' , 'unispeech-sat'): if tokenizer is not None: from .extra.wav2vec2 import generate_tokenizer_json tokenizer_json = generate_tokenizer_json(tokenizer) diff --git a/scripts/supported_models.py b/scripts/supported_models.py index 7d7a5c169..7a2fd62bf 100644 --- a/scripts/supported_models.py +++ b/scripts/supported_models.py @@ -924,6 +924,45 @@ 'microsoft/trocr-base-handwritten', ], }, + 'unispeech': { + # Feature extraction + 'feature-extraction': [ + # Requires --task feature-extraction + 'microsoft/unispeech-large-1500h-cv', + ], + # TODO: add support for + # # Automatic speech recognition + # 'automatic-speech-recognition': [ + # 'microsoft/unispeech-1350-en-353-fr-ft-1h', + # 'microsoft/unispeech-1350-en-17h-ky-ft-1h', + # 'microsoft/unispeech-1350-en-90-it-ft-1h', + # 'microsoft/unispeech-1350-en-168-es-ft-1h', + # ], + }, + 'unispeech-sat': { + # Feature extraction + 'feature-extraction': [ + # Requires --task feature-extraction + 'microsoft/unispeech-sat-base', + ], + + # Audio XVector (e.g., for speaker verification) + 'audio-xvector': [ + 'microsoft/unispeech-sat-base-plus-sv', + 'microsoft/unispeech-sat-base-sv', + 'microsoft/unispeech-sat-large-sv', + ], + + # Audio frame classification + 'audio-frame-classification': [ + 'microsoft/unispeech-sat-base-plus-sd', + ], + + # Automatic speech recognition + 'automatic-speech-recognition': [ + 'microsoft/unispeech-sat-base-100h-libri-ft', + ], + }, 'vision-encoder-decoder': { # Image-to-text 'image-to-text': [ @@ -993,6 +1032,11 @@ 'facebook/mms-lid-4017', ], + # Audio frame classification + 'audio-frame-classification': [ + 'anton-l/wav2vec2-base-superb-sd', + ], + # Automatic speech recognition 'automatic-speech-recognition': [ 'jonatasgrosman/wav2vec2-large-xlsr-53-english', @@ -1020,6 +1064,12 @@ 'microsoft/wavlm-large', ], + # Audio frame classification + 'audio-frame-classification': [ + 'anton-l/wav2vec2-base-superb-sd', + 'microsoft/wavlm-base-plus-sd', + ], + # Audio XVector (e.g., for speaker verification) 'audio-xvector': [ 'microsoft/wavlm-base-plus-sv', diff --git a/src/models.js b/src/models.js index cf7807300..ec4612052 100644 --- a/src/models.js +++ b/src/models.js @@ -4574,7 +4574,97 @@ export class Wav2Vec2ForSequenceClassification extends Wav2Vec2PreTrainedModel { ////////////////////////////////////////////////// ////////////////////////////////////////////////// -// Wav2Vec2 models +// UniSpeech models +export class UniSpeechPreTrainedModel extends PreTrainedModel { }; + +/** + * The bare UniSpeech Model transformer outputting raw hidden-states without any specific head on top. + */ +export class UniSpeechModel extends UniSpeechPreTrainedModel { } + +/** + * UniSpeech Model with a `language modeling` head on top for Connectionist Temporal Classification (CTC). + */ +export class UniSpeechForCTC extends UniSpeechPreTrainedModel { + /** + * @param {Object} model_inputs + * @param {Tensor} model_inputs.input_values Float values of input raw speech waveform. + * @param {Tensor} model_inputs.attention_mask Mask to avoid performing convolution and attention on padding token indices. Mask values selected in [0, 1] + */ + async _call(model_inputs) { + return new CausalLMOutput(await super._call(model_inputs)); + } +} + +/** + * UniSpeech Model with a sequence classification head on top (a linear layer over the pooled output). + */ +export class UniSpeechForSequenceClassification extends UniSpeechPreTrainedModel { + /** + * Calls the model on new inputs. + * @param {Object} model_inputs The inputs to the model. + * @returns {Promise} An object containing the model's output logits for sequence classification. + */ + async _call(model_inputs) { + return new SequenceClassifierOutput(await super._call(model_inputs)); + } +} +////////////////////////////////////////////////// + +////////////////////////////////////////////////// +// UniSpeechSat models +export class UniSpeechSatPreTrainedModel extends PreTrainedModel { }; + +/** + * The bare UniSpeechSat Model transformer outputting raw hidden-states without any specific head on top. + */ +export class UniSpeechSatModel extends UniSpeechSatPreTrainedModel { } + +/** + * UniSpeechSat Model with a `language modeling` head on top for Connectionist Temporal Classification (CTC). + */ +export class UniSpeechSatForCTC extends UniSpeechSatPreTrainedModel { + /** + * @param {Object} model_inputs + * @param {Tensor} model_inputs.input_values Float values of input raw speech waveform. + * @param {Tensor} model_inputs.attention_mask Mask to avoid performing convolution and attention on padding token indices. Mask values selected in [0, 1] + */ + async _call(model_inputs) { + return new CausalLMOutput(await super._call(model_inputs)); + } +} + +/** + * UniSpeechSat Model with a sequence classification head on top (a linear layer over the pooled output). + */ +export class UniSpeechSatForSequenceClassification extends UniSpeechSatPreTrainedModel { + /** + * Calls the model on new inputs. + * @param {Object} model_inputs The inputs to the model. + * @returns {Promise} An object containing the model's output logits for sequence classification. + */ + async _call(model_inputs) { + return new SequenceClassifierOutput(await super._call(model_inputs)); + } +} + +/** + * UniSpeechSat Model with a frame classification head on top for tasks like Speaker Diarization. + */ +export class UniSpeechSatForAudioFrameClassification extends UniSpeechSatPreTrainedModel { + /** + * Calls the model on new inputs. + * @param {Object} model_inputs The inputs to the model. + * @returns {Promise} An object containing the model's output logits for sequence classification. + */ + async _call(model_inputs) { + return new TokenClassifierOutput(await super._call(model_inputs)); + } +} +////////////////////////////////////////////////// + +////////////////////////////////////////////////// +// Wav2Vec2Bert models export class Wav2Vec2BertPreTrainedModel extends PreTrainedModel { }; /** @@ -5289,6 +5379,8 @@ const MODEL_MAPPING_NAMES_ENCODER_ONLY = new Map([ ['squeezebert', ['SqueezeBertModel', SqueezeBertModel]], ['wav2vec2', ['Wav2Vec2Model', Wav2Vec2Model]], ['wav2vec2-bert', ['Wav2Vec2BertModel', Wav2Vec2BertModel]], + ['unispeech', ['UniSpeechModel', UniSpeechModel]], + ['unispeech-sat', ['UniSpeechSatModel', UniSpeechSatModel]], ['hubert', ['HubertModel', HubertModel]], ['wavlm', ['WavLMModel', WavLMModel]], ['audio-spectrogram-transformer', ['ASTModel', ASTModel]], @@ -5514,6 +5606,8 @@ const MODEL_FOR_MASK_GENERATION_MAPPING_NAMES = new Map([ const MODEL_FOR_CTC_MAPPING_NAMES = new Map([ ['wav2vec2', ['Wav2Vec2ForCTC', Wav2Vec2ForCTC]], ['wav2vec2-bert', ['Wav2Vec2BertForCTC', Wav2Vec2BertForCTC]], + ['unispeech', ['UniSpeechForCTC', UniSpeechForCTC]], + ['unispeech-sat', ['UniSpeechSatForCTC', UniSpeechSatForCTC]], ['wavlm', ['WavLMForCTC', WavLMForCTC]], ['hubert', ['HubertForCTC', HubertForCTC]], ]); @@ -5521,6 +5615,8 @@ const MODEL_FOR_CTC_MAPPING_NAMES = new Map([ const MODEL_FOR_AUDIO_CLASSIFICATION_MAPPING_NAMES = new Map([ ['wav2vec2', ['Wav2Vec2ForSequenceClassification', Wav2Vec2ForSequenceClassification]], ['wav2vec2-bert', ['Wav2Vec2BertForSequenceClassification', Wav2Vec2BertForSequenceClassification]], + ['unispeech', ['UniSpeechForSequenceClassification', UniSpeechForSequenceClassification]], + ['unispeech-sat', ['UniSpeechSatForSequenceClassification', UniSpeechSatForSequenceClassification]], ['wavlm', ['WavLMForSequenceClassification', WavLMForSequenceClassification]], ['hubert', ['HubertForSequenceClassification', HubertForSequenceClassification]], ['audio-spectrogram-transformer', ['ASTForAudioClassification', ASTForAudioClassification]], @@ -5530,6 +5626,10 @@ const MODEL_FOR_AUDIO_XVECTOR_MAPPING_NAMES = new Map([ ['wavlm', ['WavLMForXVector', WavLMForXVector]], ]); +const MODEL_FOR_AUDIO_FRAME_CLASSIFICATION_MAPPING_NAMES = new Map([ + ['unispeech-sat', ['UniSpeechSatForAudioFrameClassification', UniSpeechSatForAudioFrameClassification]], +]); + const MODEL_FOR_IMAGE_MATTING_MAPPING_NAMES = new Map([ ['vitmatte', ['VitMatteForImageMatting', VitMatteForImageMatting]], ]); @@ -5571,6 +5671,7 @@ const MODEL_CLASS_TYPE_MAPPING = [ [MODEL_FOR_TEXT_TO_SPECTROGRAM_MAPPING_NAMES, MODEL_TYPES.Seq2Seq], [MODEL_FOR_TEXT_TO_WAVEFORM_MAPPING_NAMES, MODEL_TYPES.EncoderOnly], [MODEL_FOR_AUDIO_XVECTOR_MAPPING_NAMES, MODEL_TYPES.EncoderOnly], + [MODEL_FOR_AUDIO_FRAME_CLASSIFICATION_MAPPING_NAMES, MODEL_TYPES.EncoderOnly], ]; for (const [mappings, type] of MODEL_CLASS_TYPE_MAPPING) { diff --git a/src/pipelines.js b/src/pipelines.js index a9af251cb..25dfb5875 100644 --- a/src/pipelines.js +++ b/src/pipelines.js @@ -1526,6 +1526,8 @@ export class AutomaticSpeechRecognitionPipeline extends (/** @type {new (options return this._call_whisper(audio, kwargs) case 'wav2vec2': case 'wav2vec2-bert': + case 'unispeech': + case 'unispeech-sat': case 'hubert': return this._call_wav2vec2(audio, kwargs) default: From e072ee6b70ec6b4245adf5d9a9a1112a4c803210 Mon Sep 17 00:00:00 2001 From: Joshua Lochner Date: Wed, 6 Mar 2024 13:09:04 +0200 Subject: [PATCH 06/10] Add support for starcoder2 models (#622) --- README.md | 1 + docs/snippets/6_supported-models.snippet | 1 + scripts/convert.py | 4 +++ scripts/supported_models.py | 6 +++++ src/models.js | 34 ++++++++++++++++++++++++ 5 files changed, 46 insertions(+) diff --git a/README.md b/README.md index a5e51fe1c..cbde6bdae 100644 --- a/README.md +++ b/README.md @@ -335,6 +335,7 @@ You can refine your search by selecting the task you're interested in (e.g., [te 1. **[SigLIP](https://huggingface.co/docs/transformers/main/model_doc/siglip)** (from Google AI) released with the paper [Sigmoid Loss for Language Image Pre-Training](https://arxiv.org/abs/2303.15343) by Xiaohua Zhai, Basil Mustafa, Alexander Kolesnikov, Lucas Beyer. 1. **[SpeechT5](https://huggingface.co/docs/transformers/model_doc/speecht5)** (from Microsoft Research) released with the paper [SpeechT5: Unified-Modal Encoder-Decoder Pre-Training for Spoken Language Processing](https://arxiv.org/abs/2110.07205) by Junyi Ao, Rui Wang, Long Zhou, Chengyi Wang, Shuo Ren, Yu Wu, Shujie Liu, Tom Ko, Qing Li, Yu Zhang, Zhihua Wei, Yao Qian, Jinyu Li, Furu Wei. 1. **[SqueezeBERT](https://huggingface.co/docs/transformers/model_doc/squeezebert)** (from Berkeley) released with the paper [SqueezeBERT: What can computer vision teach NLP about efficient neural networks?](https://arxiv.org/abs/2006.11316) by Forrest N. Iandola, Albert E. Shaw, Ravi Krishna, and Kurt W. Keutzer. +1. **[Starcoder2](https://huggingface.co/docs/transformers/main/model_doc/starcoder2)** (from BigCode team) released with the paper [StarCoder 2 and The Stack v2: The Next Generation](https://arxiv.org/abs/2402.19173) by Anton Lozhkov, Raymond Li, Loubna Ben Allal, Federico Cassano, Joel Lamy-Poirier, Nouamane Tazi, Ao Tang, Dmytro Pykhtar, Jiawei Liu, Yuxiang Wei, Tianyang Liu, Max Tian, Denis Kocetkov, Arthur Zucker, Younes Belkada, Zijian Wang, Qian Liu, Dmitry Abulkhanov, Indraneil Paul, Zhuang Li, Wen-Ding Li, Megan Risdal, Jia Li, Jian Zhu, Terry Yue Zhuo, Evgenii Zheltonozhskii, Nii Osae Osae Dade, Wenhao Yu, Lucas Krauß, Naman Jain, Yixuan Su, Xuanli He, Manan Dey, Edoardo Abati, Yekun Chai, Niklas Muennighoff, Xiangru Tang, Muhtasham Oblokulov, Christopher Akiki, Marc Marone, Chenghao Mou, Mayank Mishra, Alex Gu, Binyuan Hui, Tri Dao, Armel Zebaze, Olivier Dehaene, Nicolas Patry, Canwen Xu, Julian McAuley, Han Hu, Torsten Scholak, Sebastien Paquet, Jennifer Robinson, Carolyn Jane Anderson, Nicolas Chapados, Mostofa Patwary, Nima Tajbakhsh, Yacine Jernite, Carlos Muñoz Ferrandis, Lingming Zhang, Sean Hughes, Thomas Wolf, Arjun Guha, Leandro von Werra, and Harm de Vries. 1. **[Swin Transformer](https://huggingface.co/docs/transformers/model_doc/swin)** (from Microsoft) released with the paper [Swin Transformer: Hierarchical Vision Transformer using Shifted Windows](https://arxiv.org/abs/2103.14030) by Ze Liu, Yutong Lin, Yue Cao, Han Hu, Yixuan Wei, Zheng Zhang, Stephen Lin, Baining Guo. 1. **[Swin2SR](https://huggingface.co/docs/transformers/model_doc/swin2sr)** (from University of Würzburg) released with the paper [Swin2SR: SwinV2 Transformer for Compressed Image Super-Resolution and Restoration](https://arxiv.org/abs/2209.11345) by Marcos V. Conde, Ui-Jin Choi, Maxime Burchi, Radu Timofte. 1. **[T5](https://huggingface.co/docs/transformers/model_doc/t5)** (from Google AI) released with the paper [Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer](https://arxiv.org/abs/1910.10683) by Colin Raffel and Noam Shazeer and Adam Roberts and Katherine Lee and Sharan Narang and Michael Matena and Yanqi Zhou and Wei Li and Peter J. Liu. diff --git a/docs/snippets/6_supported-models.snippet b/docs/snippets/6_supported-models.snippet index eed000be3..1c6644ad6 100644 --- a/docs/snippets/6_supported-models.snippet +++ b/docs/snippets/6_supported-models.snippet @@ -70,6 +70,7 @@ 1. **[SigLIP](https://huggingface.co/docs/transformers/main/model_doc/siglip)** (from Google AI) released with the paper [Sigmoid Loss for Language Image Pre-Training](https://arxiv.org/abs/2303.15343) by Xiaohua Zhai, Basil Mustafa, Alexander Kolesnikov, Lucas Beyer. 1. **[SpeechT5](https://huggingface.co/docs/transformers/model_doc/speecht5)** (from Microsoft Research) released with the paper [SpeechT5: Unified-Modal Encoder-Decoder Pre-Training for Spoken Language Processing](https://arxiv.org/abs/2110.07205) by Junyi Ao, Rui Wang, Long Zhou, Chengyi Wang, Shuo Ren, Yu Wu, Shujie Liu, Tom Ko, Qing Li, Yu Zhang, Zhihua Wei, Yao Qian, Jinyu Li, Furu Wei. 1. **[SqueezeBERT](https://huggingface.co/docs/transformers/model_doc/squeezebert)** (from Berkeley) released with the paper [SqueezeBERT: What can computer vision teach NLP about efficient neural networks?](https://arxiv.org/abs/2006.11316) by Forrest N. Iandola, Albert E. Shaw, Ravi Krishna, and Kurt W. Keutzer. +1. **[Starcoder2](https://huggingface.co/docs/transformers/main/model_doc/starcoder2)** (from BigCode team) released with the paper [StarCoder 2 and The Stack v2: The Next Generation](https://arxiv.org/abs/2402.19173) by Anton Lozhkov, Raymond Li, Loubna Ben Allal, Federico Cassano, Joel Lamy-Poirier, Nouamane Tazi, Ao Tang, Dmytro Pykhtar, Jiawei Liu, Yuxiang Wei, Tianyang Liu, Max Tian, Denis Kocetkov, Arthur Zucker, Younes Belkada, Zijian Wang, Qian Liu, Dmitry Abulkhanov, Indraneil Paul, Zhuang Li, Wen-Ding Li, Megan Risdal, Jia Li, Jian Zhu, Terry Yue Zhuo, Evgenii Zheltonozhskii, Nii Osae Osae Dade, Wenhao Yu, Lucas Krauß, Naman Jain, Yixuan Su, Xuanli He, Manan Dey, Edoardo Abati, Yekun Chai, Niklas Muennighoff, Xiangru Tang, Muhtasham Oblokulov, Christopher Akiki, Marc Marone, Chenghao Mou, Mayank Mishra, Alex Gu, Binyuan Hui, Tri Dao, Armel Zebaze, Olivier Dehaene, Nicolas Patry, Canwen Xu, Julian McAuley, Han Hu, Torsten Scholak, Sebastien Paquet, Jennifer Robinson, Carolyn Jane Anderson, Nicolas Chapados, Mostofa Patwary, Nima Tajbakhsh, Yacine Jernite, Carlos Muñoz Ferrandis, Lingming Zhang, Sean Hughes, Thomas Wolf, Arjun Guha, Leandro von Werra, and Harm de Vries. 1. **[Swin Transformer](https://huggingface.co/docs/transformers/model_doc/swin)** (from Microsoft) released with the paper [Swin Transformer: Hierarchical Vision Transformer using Shifted Windows](https://arxiv.org/abs/2103.14030) by Ze Liu, Yutong Lin, Yue Cao, Han Hu, Yixuan Wei, Zheng Zhang, Stephen Lin, Baining Guo. 1. **[Swin2SR](https://huggingface.co/docs/transformers/model_doc/swin2sr)** (from University of Würzburg) released with the paper [Swin2SR: SwinV2 Transformer for Compressed Image Super-Resolution and Restoration](https://arxiv.org/abs/2209.11345) by Marcos V. Conde, Ui-Jin Choi, Maxime Burchi, Radu Timofte. 1. **[T5](https://huggingface.co/docs/transformers/model_doc/t5)** (from Google AI) released with the paper [Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer](https://arxiv.org/abs/1910.10683) by Colin Raffel and Noam Shazeer and Adam Roberts and Katherine Lee and Sharan Narang and Michael Matena and Yanqi Zhou and Wei Li and Peter J. Liu. diff --git a/scripts/convert.py b/scripts/convert.py index d53843983..20c968dbf 100644 --- a/scripts/convert.py +++ b/scripts/convert.py @@ -83,6 +83,10 @@ 'per_channel': False, 'reduce_range': False, }, + 'starcoder2': { + 'per_channel': False, + 'reduce_range': False, + }, # Encoder-decoder models 'whisper': { diff --git a/scripts/supported_models.py b/scripts/supported_models.py index 7a2fd62bf..2dc8f6218 100644 --- a/scripts/supported_models.py +++ b/scripts/supported_models.py @@ -845,6 +845,12 @@ 'squeezebert/squeezebert-mnli', ], }, + 'starcoder2': { + # Text generation + 'text-generation': [ + 'hf-internal-testing/tiny-random-Starcoder2ForCausalLM', + ], + }, 'swin': { # Image classification 'image-classification': [ diff --git a/src/models.js b/src/models.js index ec4612052..abb9c3bbd 100644 --- a/src/models.js +++ b/src/models.js @@ -5113,6 +5113,38 @@ export class MistralModel extends MistralPreTrainedModel { } export class MistralForCausalLM extends MistralPreTrainedModel { } ////////////////////////////////////////////////// + +////////////////////////////////////////////////// +// Starcoder2 models +/** + * The bare Starcoder2 Model outputting raw hidden-states without any specific head on top. + */ +export class Starcoder2PreTrainedModel extends PreTrainedModel { + /** + * Creates a new instance of the `Starcoder2PreTrainedModel` class. + * @param {Object} config The configuration of the model. + * @param {any} session The ONNX session containing the model weights. + * @param {GenerationConfig} generation_config The generation configuration. + */ + constructor(config, session, generation_config) { + super(config, session); + this.generation_config = generation_config; + + // config doesn't contain pad_token_id, so we assume it is the eos_token_id + this.config.pad_token_id = this.config.eos_token_id + + this.num_heads = this.config.num_key_value_heads; + this.num_layers = this.config.num_hidden_layers; + this.dim_kv = this.config.hidden_size / this.config.num_attention_heads; + } +} + +export class Starcoder2Model extends Starcoder2PreTrainedModel { } + +export class Starcoder2ForCausalLM extends Starcoder2PreTrainedModel { } +////////////////////////////////////////////////// + + ////////////////////////////////////////////////// // Falcon models /** @@ -5437,6 +5469,7 @@ const MODEL_MAPPING_NAMES_DECODER_ONLY = new Map([ ['mpt', ['MptModel', MptModel]], ['opt', ['OPTModel', OPTModel]], ['mistral', ['MistralModel', MistralModel]], + ['starcoder2', ['Starcoder2Model', Starcoder2Model]], ['falcon', ['FalconModel', FalconModel]], ]); @@ -5517,6 +5550,7 @@ const MODEL_WITH_LM_HEAD_MAPPING_NAMES = new Map([ ['opt', ['OPTForCausalLM', OPTForCausalLM]], ['mbart', ['MBartForCausalLM', MBartForCausalLM]], ['mistral', ['MistralForCausalLM', MistralForCausalLM]], + ['starcoder2', ['Starcoder2ForCausalLM', Starcoder2ForCausalLM]], ['falcon', ['FalconForCausalLM', FalconForCausalLM]], ['trocr', ['TrOCRForCausalLM', TrOCRForCausalLM]], ]); From 382ff3af357a7e243aa257c4bdcc4995d8dbff3d Mon Sep 17 00:00:00 2001 From: Joshua Lochner Date: Wed, 6 Mar 2024 17:31:57 +0200 Subject: [PATCH 07/10] Create cross-encoder demo (#617) --- examples/cross-encoder/.eslintrc.cjs | 20 + examples/cross-encoder/.gitignore | 24 + examples/cross-encoder/index.html | 13 + examples/cross-encoder/package-lock.json | 5895 +++++++++++++++++++++ examples/cross-encoder/package.json | 30 + examples/cross-encoder/postcss.config.js | 6 + examples/cross-encoder/src/App.css | 5 + examples/cross-encoder/src/App.jsx | 124 + examples/cross-encoder/src/index.css | 3 + examples/cross-encoder/src/main.jsx | 10 + examples/cross-encoder/src/worker.js | 62 + examples/cross-encoder/tailwind.config.js | 12 + examples/cross-encoder/vite.config.js | 7 + 13 files changed, 6211 insertions(+) create mode 100644 examples/cross-encoder/.eslintrc.cjs create mode 100644 examples/cross-encoder/.gitignore create mode 100644 examples/cross-encoder/index.html create mode 100644 examples/cross-encoder/package-lock.json create mode 100644 examples/cross-encoder/package.json create mode 100644 examples/cross-encoder/postcss.config.js create mode 100644 examples/cross-encoder/src/App.css create mode 100644 examples/cross-encoder/src/App.jsx create mode 100644 examples/cross-encoder/src/index.css create mode 100644 examples/cross-encoder/src/main.jsx create mode 100644 examples/cross-encoder/src/worker.js create mode 100644 examples/cross-encoder/tailwind.config.js create mode 100644 examples/cross-encoder/vite.config.js diff --git a/examples/cross-encoder/.eslintrc.cjs b/examples/cross-encoder/.eslintrc.cjs new file mode 100644 index 000000000..4dcb43901 --- /dev/null +++ b/examples/cross-encoder/.eslintrc.cjs @@ -0,0 +1,20 @@ +module.exports = { + root: true, + env: { browser: true, es2020: true }, + extends: [ + 'eslint:recommended', + 'plugin:react/recommended', + 'plugin:react/jsx-runtime', + 'plugin:react-hooks/recommended', + ], + ignorePatterns: ['dist', '.eslintrc.cjs'], + parserOptions: { ecmaVersion: 'latest', sourceType: 'module' }, + settings: { react: { version: '18.2' } }, + plugins: ['react-refresh'], + rules: { + 'react-refresh/only-export-components': [ + 'warn', + { allowConstantExport: true }, + ], + }, +} diff --git a/examples/cross-encoder/.gitignore b/examples/cross-encoder/.gitignore new file mode 100644 index 000000000..a547bf36d --- /dev/null +++ b/examples/cross-encoder/.gitignore @@ -0,0 +1,24 @@ +# Logs +logs +*.log +npm-debug.log* +yarn-debug.log* +yarn-error.log* +pnpm-debug.log* +lerna-debug.log* + +node_modules +dist +dist-ssr +*.local + +# Editor directories and files +.vscode/* +!.vscode/extensions.json +.idea +.DS_Store +*.suo +*.ntvs* +*.njsproj +*.sln +*.sw? diff --git a/examples/cross-encoder/index.html b/examples/cross-encoder/index.html new file mode 100644 index 000000000..f3497ecad --- /dev/null +++ b/examples/cross-encoder/index.html @@ -0,0 +1,13 @@ + + + + + + + Reranking w/ Transformers.js + + +
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"^5.0.12" + } +} diff --git a/examples/cross-encoder/postcss.config.js b/examples/cross-encoder/postcss.config.js new file mode 100644 index 000000000..2e7af2b7f --- /dev/null +++ b/examples/cross-encoder/postcss.config.js @@ -0,0 +1,6 @@ +export default { + plugins: { + tailwindcss: {}, + autoprefixer: {}, + }, +} diff --git a/examples/cross-encoder/src/App.css b/examples/cross-encoder/src/App.css new file mode 100644 index 000000000..c3951888c --- /dev/null +++ b/examples/cross-encoder/src/App.css @@ -0,0 +1,5 @@ +#root { + height: 100vh; + width: 100vw; + padding: 1rem; +} diff --git a/examples/cross-encoder/src/App.jsx b/examples/cross-encoder/src/App.jsx new file mode 100644 index 000000000..5de65a7bd --- /dev/null +++ b/examples/cross-encoder/src/App.jsx @@ -0,0 +1,124 @@ +import { useState, useRef, useEffect, useCallback } from 'react' +import './App.css' + +const PLACEHOLDER_TEXTS = [ + "'To Kill a Mockingbird' is a novel by Harper Lee published in 1960. It was immediately successful, winning the Pulitzer Prize, and has become a classic of modern American literature.", + "The novel 'Moby-Dick' was written by Herman Melville and first published in 1851. It is considered a masterpiece of American literature and deals with complex themes of obsession, revenge, and the conflict between good and evil.", + "Harper Lee, an American novelist widely known for her novel 'To Kill a Mockingbird', was born in 1926 in Monroeville, Alabama. She received the Pulitzer Prize for Fiction in 1961.", + "Jane Austen was an English novelist known primarily for her six major novels, which interpret, critique and comment upon the British landed gentry at the end of the 18th century.", + "The 'Harry Potter' series, which consists of seven fantasy novels written by British author J.K. Rowling, is among the most popular and critically acclaimed books of the modern era.", + "'The Great Gatsby', a novel written by American author F. Scott Fitzgerald, was published in 1925. The story is set in the Jazz Age and follows the life of millionaire Jay Gatsby and his pursuit of Daisy Buchanan." +].sort(() => Math.random() - 0.5); + +function App() { + const [status, setStatus] = useState('idle'); + + const [query, setQuery] = useState(`Who wrote 'To Kill a Mockingbird'?`); + const [documents, setDocuments] = useState(PLACEHOLDER_TEXTS.join('\n')); + + const [results, setResults] = useState([]); + + // Create a reference to the worker object. + const worker = useRef(null); + + // We use the `useEffect` hook to setup the worker as soon as the `App` component is mounted. + useEffect(() => { + if (!worker.current) { + // Create the worker if it does not yet exist. + worker.current = new Worker(new URL('./worker.js', import.meta.url), { + type: 'module' + }); + } + + // Create a callback function for messages from the worker thread. + const onMessageReceived = (e) => { + const status = e.data.status; + if (e.data.file?.endsWith('.onnx')) { + if (status === 'initiate') { + setStatus('loading'); + } else if (status === 'done') { + setStatus('ready'); + } + } else if (status === 'complete') { + setResults(e.data.output); + setStatus('idle'); + } + }; + + // Attach the callback function as an event listener. + worker.current.addEventListener('message', onMessageReceived); + + // Define a cleanup function for when the component is unmounted. + return () => worker.current.removeEventListener('message', onMessageReceived); + }, []); + + const run = useCallback(() => { + setStatus('processing'); + worker.current.postMessage({ + query, + documents, + }); + }, [query, documents]) + + const busy = status !== 'idle'; + + return ( +
+

Reranking w/ The Crispy mixedbread Rerank Models

+

Powered by mxbai-rerank-xsmall-v1 and 🤗 Transformers.js

+
+
+ + + + + + +
+
+ {results.length > 0 && (<> +
+ +
+ {results.map((result, i) => ( +
+ {result.score.toFixed(3)} + {result.text} +
+ ))} +
+
+ ) + } +
+
+
+ ) +} + +export default App diff --git a/examples/cross-encoder/src/index.css b/examples/cross-encoder/src/index.css new file mode 100644 index 000000000..b5c61c956 --- /dev/null +++ b/examples/cross-encoder/src/index.css @@ -0,0 +1,3 @@ +@tailwind base; +@tailwind components; +@tailwind utilities; diff --git a/examples/cross-encoder/src/main.jsx b/examples/cross-encoder/src/main.jsx new file mode 100644 index 000000000..54b39dd1d --- /dev/null +++ b/examples/cross-encoder/src/main.jsx @@ -0,0 +1,10 @@ +import React from 'react' +import ReactDOM from 'react-dom/client' +import App from './App.jsx' +import './index.css' + +ReactDOM.createRoot(document.getElementById('root')).render( + + + , +) diff --git a/examples/cross-encoder/src/worker.js b/examples/cross-encoder/src/worker.js new file mode 100644 index 000000000..0507baf6a --- /dev/null +++ b/examples/cross-encoder/src/worker.js @@ -0,0 +1,62 @@ +import { env, AutoTokenizer, AutoModelForSequenceClassification } from '@xenova/transformers'; + +// Skip local model check since we are downloading the model from the Hugging Face Hub. +env.allowLocalModels = false; + +class CrossEncoderSingleton { + static model_id = 'mixedbread-ai/mxbai-rerank-xsmall-v1'; + static model = null; + static tokenizer = null; + + static async getInstance(progress_callback) { + if (!this.tokenizer) { + this.tokenizer = AutoTokenizer.from_pretrained(this.model_id); + } + + if (!this.model) { + this.model = AutoModelForSequenceClassification.from_pretrained(this.model_id, { + quantized: true, + progress_callback, + }); + } + + return Promise.all([this.tokenizer, this.model]); + } +} + +// Listen for messages from the main thread +self.addEventListener('message', async (event) => { + // Retrieve the pipeline. When called for the first time, + // this will load the pipeline and save it for future use. + const [tokenizer, model] = await CrossEncoderSingleton.getInstance(x => { + // We also add a progress callback to the pipeline so that we can + // track model loading. + self.postMessage(x); + }); + + const { query, documents } = event.data; + + const docs = documents.trim().split('\n'); + + const inputs = tokenizer( + new Array(docs.length).fill(query), + { + text_pair: docs, + padding: true, + truncation: true, + } + ) + const { logits } = await model(inputs); + const output = logits + .sigmoid() + .tolist() + .map(([score], i) => ({ + corpus_id: i, + score, + text: docs[i], + })) + .sort((a, b) => b.score - a.score); + + // Send the output back to the main thread + self.postMessage({ status: 'complete', output }); +}); diff --git a/examples/cross-encoder/tailwind.config.js b/examples/cross-encoder/tailwind.config.js new file mode 100644 index 000000000..d37737fc0 --- /dev/null +++ b/examples/cross-encoder/tailwind.config.js @@ -0,0 +1,12 @@ +/** @type {import('tailwindcss').Config} */ +export default { + content: [ + "./index.html", + "./src/**/*.{js,ts,jsx,tsx}", + ], + theme: { + extend: {}, + }, + plugins: [], +} + diff --git a/examples/cross-encoder/vite.config.js b/examples/cross-encoder/vite.config.js new file mode 100644 index 000000000..5a33944a9 --- /dev/null +++ b/examples/cross-encoder/vite.config.js @@ -0,0 +1,7 @@ +import { defineConfig } from 'vite' +import react from '@vitejs/plugin-react' + +// https://vitejs.dev/config/ +export default defineConfig({ + plugins: [react()], +}) From 8694a856ee94ef3a11fc9c48e3c7b1c729ca10b1 Mon Sep 17 00:00:00 2001 From: Joshua Lochner Date: Thu, 7 Mar 2024 01:59:06 +0200 Subject: [PATCH 08/10] Bump `@huggingface/jinja` (#629) --- package-lock.json | 8 ++++---- package.json | 2 +- 2 files changed, 5 insertions(+), 5 deletions(-) diff --git a/package-lock.json b/package-lock.json index a2e839770..fd48d6bb5 100644 --- a/package-lock.json +++ b/package-lock.json @@ -9,7 +9,7 @@ "version": "2.15.1", "license": "Apache-2.0", "dependencies": { - "@huggingface/jinja": "^0.2.0", + "@huggingface/jinja": "^0.2.1", "onnxruntime-web": "1.14.0", "sharp": "^0.32.0" }, @@ -745,9 +745,9 @@ } }, "node_modules/@huggingface/jinja": { - "version": "0.2.0", - "resolved": "https://registry.npmjs.org/@huggingface/jinja/-/jinja-0.2.0.tgz", - "integrity": "sha512-vI9dvAyQAsyd2WEUtxSTfb+8cs+Ktb+eWUNfEnD2g/J6iaS450bthOp9iLzV80XzvuVe7EosmflhyAvigmRFuw==", + "version": "0.2.1", + "resolved": "https://registry.npmjs.org/@huggingface/jinja/-/jinja-0.2.1.tgz", + "integrity": "sha512-HxjVCll8oGfgUQmN91NYWCjfuaQ5mYZkc/BB1gjfp28q3s48yiB5jUEV7BvaRdIAb/+14cNdX8TIdalFykwywA==", "engines": { "node": ">=18" } diff --git a/package.json b/package.json index ff91eab0e..a7a22e2ce 100644 --- a/package.json +++ b/package.json @@ -40,7 +40,7 @@ "dependencies": { "onnxruntime-web": "1.14.0", "sharp": "^0.32.0", - "@huggingface/jinja": "^0.2.0" + "@huggingface/jinja": "^0.2.1" }, "optionalDependencies": { "onnxruntime-node": "1.14.0" From dab1b8139f9e2ff95d046d6e5a39186e5232bba9 Mon Sep 17 00:00:00 2001 From: Joshua Lochner Date: Thu, 7 Mar 2024 02:47:32 +0200 Subject: [PATCH 09/10] Remove GH-specific redirect logic (#630) --- tests/init.js | 14 -------------- 1 file changed, 14 deletions(-) diff --git a/tests/init.js b/tests/init.js index cda487ec9..2fcd8609e 100644 --- a/tests/init.js +++ b/tests/init.js @@ -95,20 +95,6 @@ if (process.env.TESTING_REMOTELY) { return parts.join('/'); } - - // For some reason, GH actions breaks when performing fetch requests with `redirect: 'follow'` (the default). - // Here, we use a custom fetch function that follows redirects manually. - const defaultFetch = globalThis.fetch; - const fetchWithRedirect = async (url) => { - const response = await defaultFetch(url, { redirect: 'manual' }); - if (response.status >= 300 && response.status < 400) { - const redirectUrl = response.headers.get('location'); - return fetchWithRedirect(redirectUrl); - } else { - return response; - } - }; - globalThis.fetch = fetchWithRedirect; } export const MAX_TEST_EXECUTION_TIME = 60_000; // 60 seconds From 5bb8d25337ea45c870193dd57090ee184fc044d7 Mon Sep 17 00:00:00 2001 From: Dave <69651599+D4ve-R@users.noreply.github.com> Date: Thu, 7 Mar 2024 02:05:27 +0100 Subject: [PATCH 10/10] Add StableLM support (#616) * add stablelm model impl. * add stablelm mapping * Update `StableLMPreTrainedModel` class config * Update stablelm conversion script quantization settings * Add StableLm to list of supported models * Remove StableLMForSequenceClassification will be added in seperate PR Co-authored-by: Joshua Lochner * Remove SequenceClassifierOutputWithPast will be added in seperate PR Co-authored-by: Joshua Lochner * Remove StableLMForSequenceClassification mapping will be added in seperate pr Co-authored-by: Joshua Lochner * Update src/models.js * Naming nit * Naming nits * Update scripts/convert.py * Update src/models.js --------- Co-authored-by: Joshua Lochner --- README.md | 1 + docs/snippets/6_supported-models.snippet | 1 + scripts/convert.py | 4 +++ scripts/supported_models.py | 8 ++++++ src/models.js | 33 ++++++++++++++++++++++++ 5 files changed, 47 insertions(+) diff --git a/README.md b/README.md index cbde6bdae..ade8639d4 100644 --- a/README.md +++ b/README.md @@ -335,6 +335,7 @@ You can refine your search by selecting the task you're interested in (e.g., [te 1. **[SigLIP](https://huggingface.co/docs/transformers/main/model_doc/siglip)** (from Google AI) released with the paper [Sigmoid Loss for Language Image Pre-Training](https://arxiv.org/abs/2303.15343) by Xiaohua Zhai, Basil Mustafa, Alexander Kolesnikov, Lucas Beyer. 1. **[SpeechT5](https://huggingface.co/docs/transformers/model_doc/speecht5)** (from Microsoft Research) released with the paper [SpeechT5: Unified-Modal Encoder-Decoder Pre-Training for Spoken Language Processing](https://arxiv.org/abs/2110.07205) by Junyi Ao, Rui Wang, Long Zhou, Chengyi Wang, Shuo Ren, Yu Wu, Shujie Liu, Tom Ko, Qing Li, Yu Zhang, Zhihua Wei, Yao Qian, Jinyu Li, Furu Wei. 1. **[SqueezeBERT](https://huggingface.co/docs/transformers/model_doc/squeezebert)** (from Berkeley) released with the paper [SqueezeBERT: What can computer vision teach NLP about efficient neural networks?](https://arxiv.org/abs/2006.11316) by Forrest N. Iandola, Albert E. Shaw, Ravi Krishna, and Kurt W. Keutzer. +1. **[StableLm](https://huggingface.co/docs/transformers/model_doc/stablelm)** (from Stability AI) released with the paper [StableLM 3B 4E1T (Technical Report)](https://stability.wandb.io/stability-llm/stable-lm/reports/StableLM-3B-4E1T--VmlldzoyMjU4?accessToken=u3zujipenkx5g7rtcj9qojjgxpconyjktjkli2po09nffrffdhhchq045vp0wyfo) by Jonathan Tow, Marco Bellagente, Dakota Mahan, Carlos Riquelme Ruiz, Duy Phung, Maksym Zhuravinskyi, Nathan Cooper, Nikhil Pinnaparaju, Reshinth Adithyan, and James Baicoianu. 1. **[Starcoder2](https://huggingface.co/docs/transformers/main/model_doc/starcoder2)** (from BigCode team) released with the paper [StarCoder 2 and The Stack v2: The Next Generation](https://arxiv.org/abs/2402.19173) by Anton Lozhkov, Raymond Li, Loubna Ben Allal, Federico Cassano, Joel Lamy-Poirier, Nouamane Tazi, Ao Tang, Dmytro Pykhtar, Jiawei Liu, Yuxiang Wei, Tianyang Liu, Max Tian, Denis Kocetkov, Arthur Zucker, Younes Belkada, Zijian Wang, Qian Liu, Dmitry Abulkhanov, Indraneil Paul, Zhuang Li, Wen-Ding Li, Megan Risdal, Jia Li, Jian Zhu, Terry Yue Zhuo, Evgenii Zheltonozhskii, Nii Osae Osae Dade, Wenhao Yu, Lucas Krauß, Naman Jain, Yixuan Su, Xuanli He, Manan Dey, Edoardo Abati, Yekun Chai, Niklas Muennighoff, Xiangru Tang, Muhtasham Oblokulov, Christopher Akiki, Marc Marone, Chenghao Mou, Mayank Mishra, Alex Gu, Binyuan Hui, Tri Dao, Armel Zebaze, Olivier Dehaene, Nicolas Patry, Canwen Xu, Julian McAuley, Han Hu, Torsten Scholak, Sebastien Paquet, Jennifer Robinson, Carolyn Jane Anderson, Nicolas Chapados, Mostofa Patwary, Nima Tajbakhsh, Yacine Jernite, Carlos Muñoz Ferrandis, Lingming Zhang, Sean Hughes, Thomas Wolf, Arjun Guha, Leandro von Werra, and Harm de Vries. 1. **[Swin Transformer](https://huggingface.co/docs/transformers/model_doc/swin)** (from Microsoft) released with the paper [Swin Transformer: Hierarchical Vision Transformer using Shifted Windows](https://arxiv.org/abs/2103.14030) by Ze Liu, Yutong Lin, Yue Cao, Han Hu, Yixuan Wei, Zheng Zhang, Stephen Lin, Baining Guo. 1. **[Swin2SR](https://huggingface.co/docs/transformers/model_doc/swin2sr)** (from University of Würzburg) released with the paper [Swin2SR: SwinV2 Transformer for Compressed Image Super-Resolution and Restoration](https://arxiv.org/abs/2209.11345) by Marcos V. Conde, Ui-Jin Choi, Maxime Burchi, Radu Timofte. diff --git a/docs/snippets/6_supported-models.snippet b/docs/snippets/6_supported-models.snippet index 1c6644ad6..78948cf47 100644 --- a/docs/snippets/6_supported-models.snippet +++ b/docs/snippets/6_supported-models.snippet @@ -70,6 +70,7 @@ 1. **[SigLIP](https://huggingface.co/docs/transformers/main/model_doc/siglip)** (from Google AI) released with the paper [Sigmoid Loss for Language Image Pre-Training](https://arxiv.org/abs/2303.15343) by Xiaohua Zhai, Basil Mustafa, Alexander Kolesnikov, Lucas Beyer. 1. **[SpeechT5](https://huggingface.co/docs/transformers/model_doc/speecht5)** (from Microsoft Research) released with the paper [SpeechT5: Unified-Modal Encoder-Decoder Pre-Training for Spoken Language Processing](https://arxiv.org/abs/2110.07205) by Junyi Ao, Rui Wang, Long Zhou, Chengyi Wang, Shuo Ren, Yu Wu, Shujie Liu, Tom Ko, Qing Li, Yu Zhang, Zhihua Wei, Yao Qian, Jinyu Li, Furu Wei. 1. **[SqueezeBERT](https://huggingface.co/docs/transformers/model_doc/squeezebert)** (from Berkeley) released with the paper [SqueezeBERT: What can computer vision teach NLP about efficient neural networks?](https://arxiv.org/abs/2006.11316) by Forrest N. Iandola, Albert E. Shaw, Ravi Krishna, and Kurt W. Keutzer. +1. **[StableLm](https://huggingface.co/docs/transformers/model_doc/stablelm)** (from Stability AI) released with the paper [StableLM 3B 4E1T (Technical Report)](https://stability.wandb.io/stability-llm/stable-lm/reports/StableLM-3B-4E1T--VmlldzoyMjU4?accessToken=u3zujipenkx5g7rtcj9qojjgxpconyjktjkli2po09nffrffdhhchq045vp0wyfo) by Jonathan Tow, Marco Bellagente, Dakota Mahan, Carlos Riquelme Ruiz, Duy Phung, Maksym Zhuravinskyi, Nathan Cooper, Nikhil Pinnaparaju, Reshinth Adithyan, and James Baicoianu. 1. **[Starcoder2](https://huggingface.co/docs/transformers/main/model_doc/starcoder2)** (from BigCode team) released with the paper [StarCoder 2 and The Stack v2: The Next Generation](https://arxiv.org/abs/2402.19173) by Anton Lozhkov, Raymond Li, Loubna Ben Allal, Federico Cassano, Joel Lamy-Poirier, Nouamane Tazi, Ao Tang, Dmytro Pykhtar, Jiawei Liu, Yuxiang Wei, Tianyang Liu, Max Tian, Denis Kocetkov, Arthur Zucker, Younes Belkada, Zijian Wang, Qian Liu, Dmitry Abulkhanov, Indraneil Paul, Zhuang Li, Wen-Ding Li, Megan Risdal, Jia Li, Jian Zhu, Terry Yue Zhuo, Evgenii Zheltonozhskii, Nii Osae Osae Dade, Wenhao Yu, Lucas Krauß, Naman Jain, Yixuan Su, Xuanli He, Manan Dey, Edoardo Abati, Yekun Chai, Niklas Muennighoff, Xiangru Tang, Muhtasham Oblokulov, Christopher Akiki, Marc Marone, Chenghao Mou, Mayank Mishra, Alex Gu, Binyuan Hui, Tri Dao, Armel Zebaze, Olivier Dehaene, Nicolas Patry, Canwen Xu, Julian McAuley, Han Hu, Torsten Scholak, Sebastien Paquet, Jennifer Robinson, Carolyn Jane Anderson, Nicolas Chapados, Mostofa Patwary, Nima Tajbakhsh, Yacine Jernite, Carlos Muñoz Ferrandis, Lingming Zhang, Sean Hughes, Thomas Wolf, Arjun Guha, Leandro von Werra, and Harm de Vries. 1. **[Swin Transformer](https://huggingface.co/docs/transformers/model_doc/swin)** (from Microsoft) released with the paper [Swin Transformer: Hierarchical Vision Transformer using Shifted Windows](https://arxiv.org/abs/2103.14030) by Ze Liu, Yutong Lin, Yue Cao, Han Hu, Yixuan Wei, Zheng Zhang, Stephen Lin, Baining Guo. 1. **[Swin2SR](https://huggingface.co/docs/transformers/model_doc/swin2sr)** (from University of Würzburg) released with the paper [Swin2SR: SwinV2 Transformer for Compressed Image Super-Resolution and Restoration](https://arxiv.org/abs/2209.11345) by Marcos V. Conde, Ui-Jin Choi, Maxime Burchi, Radu Timofte. diff --git a/scripts/convert.py b/scripts/convert.py index 20c968dbf..3a2b223e8 100644 --- a/scripts/convert.py +++ b/scripts/convert.py @@ -83,6 +83,10 @@ 'per_channel': False, 'reduce_range': False, }, + 'stablelm': { + 'per_channel': False, + 'reduce_range': False, + }, 'starcoder2': { 'per_channel': False, 'reduce_range': False, diff --git a/scripts/supported_models.py b/scripts/supported_models.py index 2dc8f6218..4728155a0 100644 --- a/scripts/supported_models.py +++ b/scripts/supported_models.py @@ -838,6 +838,14 @@ 'microsoft/speecht5_tts', ], }, + 'stablelm': { + # Text generation + 'text-generation': [ + 'hf-internal-testing/tiny-random-StableLmForCausalLM', + 'stabilityai/stablelm-2-1_6b', + 'stabilityai/stablelm-2-zephyr-1_6b', + ], + }, 'squeezebert': { # Feature extraction 'feature-extraction': [ diff --git a/src/models.js b/src/models.js index abb9c3bbd..ef3d2806c 100644 --- a/src/models.js +++ b/src/models.js @@ -5316,6 +5316,38 @@ export class SegformerForSemanticSegmentation extends SegformerPreTrainedModel { ////////////////////////////////////////////////// +////////////////////////////////////////////////// +// StableLm models +export class StableLmPreTrainedModel extends PreTrainedModel { + /** + * Creates a new instance of the `StableLmPreTrainedModel` class. + * @param {Object} config The configuration of the model. + * @param {any} session The ONNX session containing the model weights. + * @param {GenerationConfig} generation_config The generation configuration. + */ + constructor(config, session, generation_config) { + super(config, session); + this.generation_config = generation_config; + + // config doesn't contain pad_token_id, so we assume it is the eos_token_id + this.config.pad_token_id = this.config.eos_token_id + + this.num_heads = this.config.num_attention_heads; + this.num_layers = this.config.num_hidden_layers; + this.dim_kv = this.config.hidden_size / this.num_heads; + } +} + +/** + * The bare StableLm Model transformer outputting raw hidden-states without any specific head on top. + */ +export class StableLmModel extends StableLmPreTrainedModel { } + +/** + * StableLm Model with a `language modeling` head on top for Causal Language Modeling (with past). + */ +export class StableLmForCausalLM extends StableLmPreTrainedModel { } +////////////////////////////////////////////////// ////////////////////////////////////////////////// // AutoModels, used to simplify construction of PreTrainedModels @@ -5553,6 +5585,7 @@ const MODEL_WITH_LM_HEAD_MAPPING_NAMES = new Map([ ['starcoder2', ['Starcoder2ForCausalLM', Starcoder2ForCausalLM]], ['falcon', ['FalconForCausalLM', FalconForCausalLM]], ['trocr', ['TrOCRForCausalLM', TrOCRForCausalLM]], + ['stablelm', ['StableLmForCausalLM', StableLmForCausalLM]], ]); const MODEL_FOR_MASKED_LM_MAPPING_NAMES = new Map([