[Docs] Model_doc structure/clarity improvements (#26876)
* first batch of structure improvements for model_docs * second batch of structure improvements for model_docs * more structure improvements for model_docs * more structure improvements for model_docs * structure improvements for cv model_docs * more structural refactoring * addressed feedback about image processors
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@@ -81,7 +81,13 @@ alt="drawing" width="600"/>
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This model was contributed by [nielsr](https://huggingface.co/nielsr). The original code can be found
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[here](https://github.com/deepmind/deepmind-research/tree/master/perceiver).
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Tips:
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<Tip warning={true}>
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Perceiver does **not** work with `torch.nn.DataParallel` due to a bug in PyTorch, see [issue #36035](https://github.com/pytorch/pytorch/issues/36035)
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</Tip>
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## Resources
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- The quickest way to get started with the Perceiver is by checking the [tutorial
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notebooks](https://github.com/NielsRogge/Transformers-Tutorials/tree/master/Perceiver).
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@@ -89,13 +95,6 @@ Tips:
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is implemented in the library. Note that the models available in the library only showcase some examples of what you can do
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with the Perceiver. There are many more use cases, including question answering, named-entity recognition, object detection,
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audio classification, video classification, etc.
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**Note**:
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- Perceiver does **not** work with `torch.nn.DataParallel` due to a bug in PyTorch, see [issue #36035](https://github.com/pytorch/pytorch/issues/36035)
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## Documentation resources
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- [Text classification task guide](../tasks/sequence_classification)
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- [Masked language modeling task guide](../tasks/masked_language_modeling)
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- [Image classification task guide](../tasks/image_classification)
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