[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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@@ -34,14 +34,16 @@ dependency parsing, named-entity recognition, and natural language inference. Ca
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for most of the tasks considered. We release the pretrained model for CamemBERT hoping to foster research and
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downstream applications for French NLP.*
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Tips:
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- This implementation is the same as RoBERTa. Refer to the [documentation of RoBERTa](roberta) for usage examples
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as well as the information relative to the inputs and outputs.
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This model was contributed by [camembert](https://huggingface.co/camembert). The original code can be found [here](https://camembert-model.fr/).
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## Documentation resources
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<Tip>
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This implementation is the same as RoBERTa. Refer to the [documentation of RoBERTa](roberta) for usage examples as well
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as the information relative to the inputs and outputs.
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</Tip>
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## Resources
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- [Text classification task guide](../tasks/sequence_classification)
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- [Token classification task guide](../tasks/token_classification)
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@@ -66,6 +68,9 @@ This model was contributed by [camembert](https://huggingface.co/camembert). The
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[[autodoc]] CamembertTokenizerFast
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<frameworkcontent>
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<pt>
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## CamembertModel
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[[autodoc]] CamembertModel
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@@ -94,6 +99,9 @@ This model was contributed by [camembert](https://huggingface.co/camembert). The
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[[autodoc]] CamembertForQuestionAnswering
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</pt>
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<tf>
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## TFCamembertModel
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[[autodoc]] TFCamembertModel
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@@ -121,3 +129,7 @@ This model was contributed by [camembert](https://huggingface.co/camembert). The
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## TFCamembertForQuestionAnswering
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[[autodoc]] TFCamembertForQuestionAnswering
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</tf>
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</frameworkcontent>
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