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Exemples de widgets
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Autres 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 2Audio 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 2Classification 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 2Détection 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 2Vision 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: TeapotDétection 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: AirportSegmentation 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: AirportImage 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 guidanceImage-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 guidanceTexte 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 & DogAutres
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"