Update Perceiver code examples (#14783)
* Fix code examples * Fix code example
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@@ -81,9 +81,10 @@ Tips:
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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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- Note that the models available in the library only showcase some examples of what you can do with the Perceiver.
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There are many more use cases, including question answering,
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named-entity recognition, object detection, audio classification, video classification, etc.
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- Refer to the [blog post](https://huggingface.co/blog/perceiver) if you want to fully understand how the model works and
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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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## Perceiver specific outputs
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@@ -102,10 +103,7 @@ named-entity recognition, object detection, audio classification, video classifi
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## PerceiverTokenizer
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[[autodoc]] PerceiverTokenizer
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- build_inputs_with_special_tokens
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- get_special_tokens_mask
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- create_token_type_ids_from_sequences
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- save_vocabulary
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- __call__
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## PerceiverFeatureExtractor
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