Translate en/tasks folder docs to Japanese 🇯🇵 (#27098)

* Create asr.md * Create audio_classification.md * Create document_question_answering.md * Update document_question_answering.md * add * add * ggg * gg * add masked_language_modeling.md * add monocular_depth estimation * new * dd * add * add * cl * add * Add Traslation.md * hgf * Added docs to Toctree file * Update docs/source/ja/tasks/asr.md Co-authored-by: Steven Liu <[email protected]> * Update docs/source/ja/tasks/asr.md Co-authored-by: Steven Liu <[email protected]> * Update docs/source/ja/tasks/image_classification.md Co-authored-by: Steven Liu <[email protected]> * Update docs/source/ja/tasks/idefics.md Co-authored-by: Steven Liu <[email protected]> * Update docs/source/ja/tasks/image_captioning.md Co-authored-by: Steven Liu <[email protected]> * Fix docs and revert changes * Update docs/source/en/tasks/idefics.md Co-authored-by: Steven Liu <[email protected]> * Update docs/source/ja/tasks/language_modeling.md Co-authored-by: Steven Liu <[email protected]> * Update docs/source/ja/tasks/language_modeling.md Co-authored-by: Steven Liu <[email protected]> * Update docs/source/ja/tasks/language_modeling.md Co-authored-by: Steven Liu <[email protected]> * Update docs/source/ja/tasks/prompting.md Co-authored-by: Steven Liu <[email protected]> * Update docs/source/ja/tasks/masked_language_modeling.md Co-authored-by: Steven Liu <[email protected]> * Update docs/source/ja/tasks/masked_language_modeling.md Co-authored-by: Steven Liu <[email protected]> * Update docs/source/ja/tasks/prompting.md Co-authored-by: Steven Liu <[email protected]> * Update docs/source/ja/tasks/object_detection.md Co-authored-by: Steven Liu <[email protected]> * Update docs/source/ja/tasks/semantic_segmentation.md Co-authored-by: Steven Liu <[email protected]> * Update docs/source/ja/tasks/semantic_segmentation.md Co-authored-by: Steven Liu <[email protected]> * Update docs/source/ja/tasks/token_classification.md Co-authored-by: Steven Liu <[email protected]> * Update docs/source/ja/tasks/translation.md Co-authored-by: Steven Liu <[email protected]> * Update docs/source/ja/tasks/visual_question_answering.md Co-authored-by: Steven Liu <[email protected]> * Update docs/source/ja/tasks/summarization.md Co-authored-by: Steven Liu <[email protected]> * changes in review 1 and 2 * add * Update docs/source/ja/tasks/asr.md Co-authored-by: Steven Liu <[email protected]> * Update docs/source/ja/tasks/translation.md Co-authored-by: Steven Liu <[email protected]> * changes * Update docs/source/ja/_toctree.yml Co-authored-by: Steven Liu <[email protected]> * Update docs/source/ja/_toctree.yml Co-authored-by: Steven Liu <[email protected]> * Update docs/source/ja/_toctree.yml Co-authored-by: Steven Liu <[email protected]> * Update _toctree.yml --------- Co-authored-by: Steven Liu <[email protected]>
huggingface · Dec 4, 2023 · 235e5d4 · 235e5d4
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diff --git a/docs/source/en/tasks/idefics.md b/docs/source/en/tasks/idefics.md
@@ -109,7 +109,6 @@ on the fly while loading.
 Now that you have the model loaded in one of the suggested ways, let's move on to exploring tasks that you can use IDEFICS for.
 
 ## Image captioning
-
 Image captioning is the task of predicting a caption for a given image. A common application is to aid visually impaired 
 people navigate through different situations, for instance, explore image content online. 
 
@@ -229,7 +228,7 @@ Let's get a new image for this task:
      <img src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/transformers/tasks/idefics-vqa.jpg" alt="Image of a couple having a picnic"/>
 </div>
 
-Photo by [Jarritos Mexican Soda](https://unsplash.com/@jarritos).
+Photo by [Jarritos Mexican Soda](https://unsplash.com/@jarritos). 
 
 You can steer the model from image captioning to visual question answering by prompting it with appropriate instructions: 
 

diff --git a/docs/source/en/tasks/summarization.md b/docs/source/en/tasks/summarization.md
@@ -126,13 +126,15 @@ Now create a batch of examples using [`DataCollatorForSeq2Seq`]. It's more effic
 
 <frameworkcontent>
 <pt>
+
 ```py
 >>> from transformers import DataCollatorForSeq2Seq
 
 >>> data_collator = DataCollatorForSeq2Seq(tokenizer=tokenizer, model=checkpoint)
 ```
 </pt>
 <tf>
+
 ```py
 >>> from transformers import DataCollatorForSeq2Seq
 

diff --git a/docs/source/en/tasks/translation.md b/docs/source/en/tasks/translation.md
@@ -232,7 +232,7 @@ At this point, only three steps remain:
 ... )
 
 >>> trainer.train()
-````
+```
 
 Once training is completed, share your model to the Hub with the [`~transformers.Trainer.push_to_hub`] method so everyone can use your model:
 

diff --git a/docs/source/ja/_toctree.yml b/docs/source/ja/_toctree.yml
@@ -29,11 +29,76 @@
     title: LLM を使用した生成
   title: Tutorials
 - sections:
+  - isExpanded: false
+    sections:
+    - local: tasks/sequence_classification
+      title: テキストの分類
+    - local: tasks/token_classification
+      title: トークンの分類
+    - local: tasks/question_answering
+      title: 質疑応答
+    - local: tasks/language_modeling
+      title: 因果言語モデリング
+    - local: tasks/masked_language_modeling
+      title: マスクされた言語モデリング
+    - local: tasks/translation
+      title: 翻訳
+    - local: tasks/summarization
+      title: 要約
+    - local: tasks/multiple_choice
+      title: 複数の選択肢
+    title: 自然言語処理
+  - isExpanded: false
+    sections:
+    - local: tasks/audio_classification
+      title: 音声の分類
+    - local: tasks/asr
+      title: 自動音声認識
+    title: オーディオ
+  - isExpanded: false
+    sections:
+    - local: tasks/image_classification
+      title: 画像分類
+    - local: tasks/semantic_segmentation
+      title: セマンティックセグメンテーション
+    - local: tasks/video_classification
+      title: ビデオの分類
+    - local: tasks/object_detection
+      title: 物体検出
+    - local: tasks/zero_shot_object_detection
+      title: ゼロショット物体検出
+    - local: tasks/zero_shot_image_classification
+      title: ゼロショット画像分類
+    - local: tasks/monocular_depth_estimation
+      title: 深さの推定
+    - local: tasks/image_to_image
+      title: 画像から画像へ
+    - local: tasks/knowledge_distillation_for_image_classification
+      title: コンピュータビジョンのための知識の蒸留
+    title: コンピュータビジョン
+  - isExpanded: false
+    sections:
+    - local: tasks/image_captioning
+      title: 画像のキャプション
+    - local: tasks/document_question_answering
+      title: 文書の質問への回答
+    - local: tasks/visual_question_answering
+      title: 視覚的な質問への回答
+    - local: tasks/text-to-speech
+      title: テキスト読み上げ
+    title: マルチモーダル
   - isExpanded: false
     sections:
     - local: generation_strategies
       title: 生成戦略をカスタマイズする
-    title: Generation
+    title: 世代
+  - isExpanded: false
+    sections:
+    - local: tasks/idefics
+      title: IDEFICS を使用したイメージ タスク
+    - local: tasks/prompting
+      title: LLM プロンプト ガイド
+    title: プロンプト
   title: Task Guides
 - sections:
   - local: fast_tokenizers
-Original file line number
+Diff line change
@@ Expand Up / @@ -232,7 +232,7 @@ At this point, only three steps remain: @@
     ... )
     >>> trainer.train()
-    ````
+    ```
     Once training is completed, share your model to the Hub with the [`~transformers.Trainer.push_to_hub`] method so everyone can use your model:
@@ Expand Down @@