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Remove dead links in docs
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@CodeWithKyrian
CodeWithKyrian committed Apr 13, 2024
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20 changes: 10 additions & 10 deletions docs/pipelines.md
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Expand Up @@ -162,16 +162,16 @@ and for the translation task:

#### Computer Vision

| Task | ID | Description | Supported? |
|-------------------------------------------------------------------|------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|------------|
| [Depth Estimation](/depth-estimation) | `depth-estimation` | Predicting the depth of objects present in an image. | ❌ |
| [Image Classification](/image-classification) | `image-classification` | Assigning a label or class to an entire image. | ✅ |
| [Zero-Shot Image Classification](/zero-shot-image-classification) | `zero-shot-image` | Classifying images into classes that are unseen during training. | ✅ |
| [Image Segmentation](/image-segmentation) | `image-segmentation` | Divides an image into segments where each pixel is mapped to an object. This task has multiple variants such as instance segmentation, panoptic segmentation and semantic segmentation. | ❌ |
| [Image-to-Image](/image-to-image) | `image-to-image` | Transforming a source image to match the characteristics of a target image or a target image domain. | ✅ |
| [Mask Generation](/mask-generation) | `mask-generation` | Generate masks for the objects in an image. | ❌ |
| [Object Detection](/object-detection) | `object-detection` | Identify objects of certain defined classes within an image. | ✅ |
| [Zero-Shot Object Detection](/zero-shot-object-detection) | `zero-shot-object` | Detecting objects in images that are unseen during training. | ✅ |
| Task | ID | Description | Supported? |
|-----------------------------------------------------------------------|------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|------------|
| [Depth Estimation](https://huggingface.co/tasks/depth-estimation) | `depth-estimation` | Predicting the depth of objects present in an image. | ❌ |
| [Image Classification](/image-classification) | `image-classification` | Assigning a label or class to an entire image. | ✅ |
| [Zero-Shot Image Classification](/zero-shot-image-classification) | `zero-shot-image` | Classifying images into classes that are unseen during training. | ✅ |
| [Image Segmentation](https://huggingface.co/tasks/image-segmentation) | `image-segmentation` | Divides an image into segments where each pixel is mapped to an object. This task has multiple variants such as instance segmentation, panoptic segmentation and semantic segmentation. | ❌ |
| [Image-to-Image](/image-to-image) | `image-to-image` | Transforming a source image to match the characteristics of a target image or a target image domain. | ✅ |
| [Mask Generation](https://huggingface.co/tasks/mask-generation) | `mask-generation` | Generate masks for the objects in an image. | ❌ |
| [Object Detection](/object-detection) | `object-detection` | Identify objects of certain defined classes within an image. | ✅ |
| [Zero-Shot Object Detection](/zero-shot-object-detection) | `zero-shot-object` | Detecting objects in images that are unseen during training. | ✅ |

#### Multimodal

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4 changes: 2 additions & 2 deletions docs/text-to-text-generation.md
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Expand Up @@ -55,7 +55,7 @@ When running the `text2text-generation` pipeline, you can the following options:
- ### `streamer` *(Streamer)*
[Optional] This is an instance of the `Streamer` class and is used to stream the output of the pipeline. It's useful
when you want to process the output in real-time or when the output is too large to fit into memory. Visit the
[Streamers](/docs/utils/generation.md#streamers) documentation for more information on how to use streamers.
[Streamers](/utils/generation#streamers) documentation for more information on how to use streamers.

```php
use Codewithkyrian\Transformers\Generation\Streamers\StdOutStreamer;
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arguments used to either control the length of the output, or the generation strategy used, or the manipulation process
for the output logits, or the nature of the output, or the special tokens to be used. They are only valid for pipelines
that use the `generate`, For a complete list of all possible arguments, refer to
the [generation documentation](/docs/utils/generation.md).
the [generation documentation](/utils/generation).

```php
$output = $generator(
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