[Snyk] Upgrade @xenova/transformers from 2.6.2 to 2.15.1 #1

Anubis44197 · 2024-03-14T14:49:06Z

This PR was automatically created by Snyk using the credentials of a real user.

Snyk has created this PR to upgrade @xenova/transformers from 2.6.2 to 2.15.1.

ℹ️ Keep your dependencies up-to-date. This makes it easier to fix existing vulnerabilities and to more quickly identify and fix newly disclosed vulnerabilities when they affect your project.

The recommended version is 18 versions ahead of your current version.
The recommended version was released 22 days ago, on 2024-02-21.

Release notes

Package name: @xenova/transformers

2.15.1 - 2024-02-21
What's new?
- Add Background Removal demo in #576 (online demo).
- Add support for owlv2 models in #579
  
  Example: Zero-shot object detection w/ Xenova/owlv2-base-patch16-ensemble.
  http://images.cocodataset.org/val2017/000000039769.jpg';
  const candidate_labels = ['a photo of a cat', 'a photo of a dog'];
  const output = await detector(url, candidate_labels);
  console.log(output);
  // [
  // { score: 0.7400985360145569, label: 'a photo of a cat', box: { xmin: 0, ymin: 50, xmax: 323, ymax: 485 } },
  // { score: 0.6315087080001831, label: 'a photo of a cat', box: { xmin: 333, ymin: 23, xmax: 658, ymax: 378 } }
  // ]">
```
import { pipeline } from '@ xenova/transformers';
const detector = await pipeline('zero-shot-object-detection', 'Xenova/owlv2-base-patch16-ensemble');
const url = 'http://images.cocodataset.org/val2017/000000039769.jpg';

const candidate_labels = ['a photo of a cat', 'a photo of a dog'];

const output = await detector(url, candidate_labels);

console.log(output);

// [

//   { score: 0.7400985360145569, label: 'a photo of a cat', box: { xmin: 0, ymin: 50, xmax: 323, ymax: 485 } },

//   { score: 0.6315087080001831, label: 'a photo of a cat', box: { xmin: 333, ymin: 23, xmax: 658, ymax: 378 } }

// ]
```
- Add support for Adaptive Retrieval w/ Matryoshka Embeddings (nomic-ai/nomic-embed-text-v1.5) in #587 and #588 (online demo).
- Add support for Gemma Tokenizer in #597 and #598
Full Changelog: 2.15.0...2.15.1
2.15.0 - 2024-02-06
Read more
2.14.2 - 2024-01-29
What's new?
- Add support for new Jina AI jina-embeddings-v2 models (jinaai/jina-embeddings-v2-base-zh and jinaai/jina-embeddings-v2-base-de) in #542.
- Add support for wav2vec2-bert in #544. See here for the full list of supported models.
- Add zero-shot classification demo in #519 (see online demo):
Full Changelog: 2.14.1...2.14.2
2.14.1 - 2024-01-25
Read more
2.14.0 - 2024-01-10
Read more
2.13.4 - 2024-01-04
What's new?
- Add support for cross-encoder models (+fix token type ids) (#501)
  
  Example: Information Retrieval w/ Xenova/ms-marco-TinyBERT-L-2-v2.
  
  import { AutoTokenizer, AutoModelForSequenceClassification } from '@ xenova/transformers';
  
  const model = await AutoModelForSequenceClassification.from_pretrained('Xenova/ms-marco-TinyBERT-L-2-v2');
  const tokenizer = await AutoTokenizer.from_pretrained('Xenova/ms-marco-TinyBERT-L-2-v2');
  
  const features = tokenizer(
  ['How many people live in Berlin?', 'How many people live in Berlin?'],
  {
  text_pair: [
  'Berlin has a population of 3,520,031 registered inhabitants in an area of 891.82 square kilometers.',
  'New York City is famous for the Metropolitan Museum of Art.',
  ],
  padding: true,
  truncation: true,
  }
  )
  
  const { logits } = await model(features)
  console.log(logits.data);
  // quantized: [ 7.210887908935547, -11.559350967407227 ]
  // unquantized: [ 7.235750675201416, -11.562294006347656 ]
  
  Check out the list of pre-converted models here. We also put out a demo for you to try out.
Full Changelog: 2.13.3...2.13.4
2.13.3 - 2024-01-04
What's new?
- Fix typo in JSDoc in #498
- Fix properties on pipelines in #500. Thanks to @ wesbos for reporting the issue!
Full Changelog: 2.13.2...2.13.3
2.13.2 - 2024-01-03
What's new?

This release is a follow-up to #485, with additional intellisense-focused improvements (see PR).

Full Changelog: 2.13.1...2.13.2
2.13.1 - 2024-01-03
Read more
2.13.0 - 2023-12-27
2.12.1 - 2023-12-18
2.12.0 - 2023-12-18
2.11.0 - 2023-12-13
2.10.1 - 2023-12-06
2.10.0 - 2023-12-05
2.9.0 - 2023-11-21
2.8.0 - 2023-11-09
2.7.0 - 2023-10-23
2.6.2 - 2023-09-27