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위젯 예제

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위젯 예제

각 위젯 예시에서는 output 속성에 해당 모델의 출력을 선택적으로 직접 설명할 수 있습니다. 자세한 내용은 스펙을 참고하세요.

자연어 처리

Fill-Mask

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

질문 답변

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"

요약

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"

테이블 질의응답

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"

텍스트 분류

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

텍스트 생성

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

텍스트에서 텍스트로 생성

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

토큰 분류

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"

번역

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"

Zero-Shot 분류

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"

문장 유사도

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"

대화형

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"

Feature Extraction

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"

오디오

텍스트-음성

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"

자동 음성 인식

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

오디오-투-오디오

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

오디오 분류

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

음성 활동 감지

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

컴퓨터 비전

이미지 분류

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

객체 감지

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

이미지 분할

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

이미지-이미지

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

이미지-비디오

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

텍스트-이미지

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

문서 질의응답

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"

시각 질의응답

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"

Zero-Shot 이미지 분류

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

기타

구조화 데이터 분류

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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