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ウィジェット例

各ウィジェット例では、outputプロパティ内で対応するモデルの出力を任意に記述することもできます。詳細は仕様を参照してください。

自然言語処理

Fill-Mask

widget:
- text: "Paris is the <mask> of France."
  example_title: "Capital"
- text: "The goal of life is <mask>."
  example_title: "Philosophy"

質問応答

widget:
- text: "What's my name?"
  context: "My name is Clara and I live in Berkeley."
  example_title: "Name"
- text: "Where do I live?"
  context: "My name is Sarah and I live in London"
  example_title: "Location"

要約

widget:
- text: "The tower is 324 metres (1,063 ft) tall, about the same height as an 81-storey building, and the tallest structure in Paris. Its base is square, measuring 125 metres (410 ft) on each side. During its construction, the Eiffel Tower surpassed the Washington Monument to become the tallest man-made structure in the world, a title it held for 41 years until the Chrysler Building in New York City was finished in 1930. It was the first structure to reach a height of 300 metres. Due to the addition of a broadcasting aerial at the top of the tower in 1957, it is now taller than the Chrysler Building by 5.2 metres (17 ft). Excluding transmitters, the Eiffel Tower is the second tallest free-standing structure in France after the Millau Viaduct."
  example_title: "Eiffel Tower"
- text: "Laika, a dog that was the first living creature to be launched into Earth orbit, on board the Soviet artificial satellite Sputnik 2, on November 3, 1957. It was always understood that Laika would not survive the mission, but her actual fate was misrepresented for decades. Laika was a small (13 pounds [6 kg]), even-tempered, mixed-breed dog about two years of age. She was one of a number of stray dogs that were taken into the Soviet spaceflight program after being rescued from the streets. Only female dogs were used because they were considered to be anatomically better suited than males for close confinement."
  example_title: "First in Space"

テーブル質問応答

widget:
- text: "How many stars does the transformers repository have?"
  table:
    Repository:
      - "Transformers"
      - "Datasets"
      - "Tokenizers"
    Stars:
      - 36542
      - 4512
      - 3934
    Contributors:
      - 651
      - 77
      - 34
    Programming language:
      - "Python"
      - "Python"
      - "Rust, Python and NodeJS"
  example_title: "Github stars"

テキスト分類

widget:
- text: "I love football so much"
  example_title: "Positive"
- text: "I don't really like this type of food"
  example_title: "Negative"

テキスト生成

widget:
- text: "My name is Julien and I like to"
  example_title: "Julien"
- text: "My name is Merve and my favorite"
  example_title: "Merve"

Text2Text 生成

widget:
- text: "My name is Julien and I like to"
  example_title: "Julien"
- text: "My name is Merve and my favorite"
  example_title: "Merve"

トークン分類

widget:
- text: "My name is Sylvain and I live in Paris"
  example_title: "Parisian"
- text: "My name is Sarah and I live in London"
  example_title: "Londoner"

翻訳

widget:
- text: "My name is Sylvain and I live in Paris"
  example_title: "Parisian"
- text: "My name is Sarah and I live in London"
  example_title: "Londoner"

ゼロショット分類

widget:
- text: "I have a problem with my car that needs to be resolved asap!!"
  candidate_labels: "urgent, not urgent, phone, tablet, computer"
  multi_class: true
  example_title: "Car problem"
- text: "Last week I upgraded my iOS version and ever since then my phone has been overheating whenever I use your app."
  candidate_labels: "mobile, website, billing, account access"
  multi_class: false
  example_title: "Phone issue"

文の類似度

widget:
- source_sentence: "That is a happy person"
  sentences:
    - "That is a happy dog"
    - "That is a very happy person"
    - "Today is a sunny day"
  example_title: "Happy"

対話型

widget:
- text: "Hey my name is Julien! How are you?"
  example_title: "Julien"
- text: "Hey my name is Clara! How are you?"
  example_title: "Clara"

特徴量抽出

widget:
- text: "My name is Sylvain and I live in Paris"
  example_title: "Parisian"
- text: "My name is Sarah and I live in London"
  example_title: "Londoner"

オーディオ

テキスト読み上げ

widget:
- text: "My name is Sylvain and I live in Paris"
  example_title: "Parisian"
- text: "My name is Sarah and I live in London"
  example_title: "Londoner"

自動音声認識

widget:
- src: https://cdn-media.huggingface.co/speech_samples/sample1.flac
  example_title: Librispeech sample 1
- src: https://cdn-media.huggingface.co/speech_samples/sample2.flac
  example_title: Librispeech sample 2

オーディオからオーディオへ

widget:
- src: https://cdn-media.huggingface.co/speech_samples/sample1.flac
  example_title: Librispeech sample 1
- src: https://cdn-media.huggingface.co/speech_samples/sample2.flac
  example_title: Librispeech sample 2

音声分類

widget:
- src: https://cdn-media.huggingface.co/speech_samples/sample1.flac
  example_title: Librispeech sample 1
- src: https://cdn-media.huggingface.co/speech_samples/sample2.flac
  example_title: Librispeech sample 2

ボイス・アクティビティ・デテクション

widget:
- src: https://cdn-media.huggingface.co/speech_samples/sample1.flac
  example_title: Librispeech sample 1
- src: https://cdn-media.huggingface.co/speech_samples/sample2.flac
  example_title: Librispeech sample 2

コンピュータビジョン

画像分類

widget:
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg
  example_title: Tiger
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/teapot.jpg
  example_title: Teapot

オブジェクト検出

widget:
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/football-match.jpg
  example_title: Football Match
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/airport.jpg
  example_title: Airport

画像セグメンテーション

widget:
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/football-match.jpg
  example_title: Football Match
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/airport.jpg
  example_title: Airport

画像から画像へ

widget:
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/canny-edge.jpg
  prompt: Girl with Pearl Earring # `prompt` field is optional in case the underlying model supports text guidance

画像から動画へ

widget:
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/canny-edge.jpg
  prompt: Girl with Pearl Earring # `prompt` field is optional in case the underlying model supports text guidance

テキストから画像へ

widget:
- text: "A cat playing with a ball"
  example_title: "Cat"
- text: "A dog jumping over a fence"
  example_title: "Dog"

ドキュメント質問応答

widget:
- text: "What is the invoice number?"
  src: "https://huggingface.co/spaces/impira/docquery/resolve/2359223c1837a7587402bda0f2643382a6eefeab/invoice.png"
- text: "What is the purchase amount?"
  src: "https://huggingface.co/spaces/impira/docquery/resolve/2359223c1837a7587402bda0f2643382a6eefeab/contract.jpeg"

視覚的質問応答

widget:
- text: "What animal is it?"
  src: "https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg"
- text: "Where is it?"
  src: "https://huggingface.co/datasets/mishig/sample_images/resolve/main/palace.jpg"

ゼロショット画像分類

widget:
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/cat-dog-music.png
  candidate_labels: playing music, playing sports
  example_title: Cat & Dog

その他

構造化データ分類

widget:
- structured_data:
    fixed_acidity:
      - 7.4
      - 7.8
      - 10.3
    volatile_acidity:
      - 0.7
      - 0.88
      - 0.32
    citric_acid:
      - 0
      - 0
      - 0.45
    residual_sugar:
      - 1.9
      - 2.6
      - 6.4
    chlorides:
      - 0.076
      - 0.098
      - 0.073
    free_sulfur_dioxide:
      - 11
      - 25
      - 5
    total_sulfur_dioxide:
      - 34
      - 67
      - 13
    density:
      - 0.9978
      - 0.9968
      - 0.9976
    pH:
      - 3.51
      - 3.2
      - 3.23
    sulphates:
      - 0.56
      - 0.68
      - 0.82
    alcohol:
      - 9.4
      - 9.8
      - 12.6
  example_title: "Wine"

Update on GitHub

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