Hub documentation

Exemples de widgets

Hugging Face's logo
Join the Hugging Face community

and get access to the augmented documentation experience

to get started

Exemples de widgets

Notez que chaque exemple de widget peut également décrire de manière facultative la sortie correspondante du modèle, directement dans la propriété output. Consultez la spécification pour plus de détails.

Traitement du langage naturel

Fill-Mask

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

Question-réponse

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"

Résumé

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"

Réponses aux questions sur les tableaux

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"

Classification de texte

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

Génération de texte

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

Génération de texte à partir de texte

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

Classification de jetons

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"

Traduction

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"

Classification en zéro tir

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"

Similarité de phrases

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"

Conversationnel

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"

Extraction de caractéristiques

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"

Audio

Texte en parole

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"

Reconnaissance automatique de la parole

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

Audio vers Audio

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

Classification audio

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

Détection d'activité vocale

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

Vision par ordinateur

Classification d'images

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

Détection d'objets

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

Segmentation d'images

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

Image vers image

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

Image-vers-Vidéo

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

Texte vers image

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

Question-réponse sur documents

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"

Réponse à des questions visuelles

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"

Classification d'images en zéro tir

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

Autres

Classification de données structurées

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