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[Docs] Model_doc structure/clarity improvements (#26876)

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* 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
This commit is contained in:
Maria Khalusova
2023-11-03 10:57:03 -04:00
committed by GitHub
parent ad8ff96224
commit 5964f820db
223 changed files with 1796 additions and 1116 deletions
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docs/source/en/model_doc/phobert.md
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@@ -28,7 +28,9 @@ best pre-trained multilingual model XLM-R (Conneau et al., 2020) and improves th
Vietnamese-specific NLP tasks including Part-of-speech tagging, Dependency parsing, Named-entity recognition and
Natural language inference.*
Example of use:
This model was contributed by [dqnguyen](https://huggingface.co/dqnguyen). The original code can be found [here](https://github.com/VinAIResearch/PhoBERT).
## Usage example
```python
>>> import torch
@@ -50,7 +52,12 @@ Example of use:
>>> # phobert = TFAutoModel.from_pretrained("vinai/phobert-base")
```
This model was contributed by [dqnguyen](https://huggingface.co/dqnguyen). The original code can be found [here](https://github.com/VinAIResearch/PhoBERT).
<Tip>
PhoBERT implementation is the same as BERT, except for tokenization. Refer to [EART documentation](bert) for information on
configuration classes and their parameters. PhoBERT-specific tokenizer is documented below.
</Tip>
## PhobertTokenizer