# Widget Örnekleri

Her widget örneğinin, ilgili model çıktısını `output` özelliğinde doğrudan tanımlayabildiğini de unutmayın. Daha fazla ayrıntı için [spec](./models-widgets#example-outputs)'e bakın.

## Doğal Dil İşleme

### Fill-Mask

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

### Soru Cevaplama

```yaml
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"
```

### Özetleme

```yaml
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"
```

### Tablo Soru Cevaplama

```yaml
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"
```

### Metin Sınıflandırma

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

### Metin Üretimi

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

### Metinden Metne Üretim

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

### Token Sınıflandırma

```yaml
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"
```

### Çeviri

```yaml
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"
```

### Sıfır Atıflı Sınıflandırma

```yaml
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"
```
### Cümle Benzerliği

```yaml
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"
```

### Sohbet

```yaml
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"
```

### Özellik Çıkarımı

```yaml
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"
```

## Ses

### Metinden Sese

```yaml
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"
```

### Otomatik Konuşma Tanıma

```yaml
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
```

### Ses-Sese

```yaml
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
```

### Ses Sınıflandırma

```yaml
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
```

### Ses Aktivite Algılama

```yaml
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
```

## Bilgisayar Görüsü

### Görsel Sınıflandırma

```yaml
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
```

### Nesne Algılama

```yaml
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
```

### Görüntü Segmentasyonu

```yaml
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
```

### Görselden Görsel

```yaml
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
```

### Görüntüden Videoya

```yaml
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
```

### Metinden Görsele

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

### Belge Soru Cevaplama

```yaml
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"
```

### Görsel Soru Cevaplama

```yaml
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"
```

### Sıfır Atışlı Görüntü Sınıflandırma

```yaml
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
```

## Diğer

### Yapılandırılmış Veri Sınıflandırma

```yaml
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"
```