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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/bert-generation.md
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@@ -33,10 +33,13 @@ GPT-2 and RoBERTa checkpoints and conducted an extensive empirical study on the
encoder and decoder, with these checkpoints. Our models result in new state-of-the-art results on Machine Translation,
Text Summarization, Sentence Splitting, and Sentence Fusion.*
Usage:
This model was contributed by [patrickvonplaten](https://huggingface.co/patrickvonplaten). The original code can be
found [here](https://tfhub.dev/s?module-type=text-generation&subtype=module,placeholder).
- The model can be used in combination with the [`EncoderDecoderModel`] to leverage two pretrained
BERT checkpoints for subsequent fine-tuning.
## Usage examples and tips
The model can be used in combination with the [`EncoderDecoderModel`] to leverage two pretrained BERT checkpoints for
subsequent fine-tuning:
```python
>>> # leverage checkpoints for Bert2Bert model...
@@ -61,8 +64,7 @@ Usage:
>>> loss.backward()
```
- Pretrained [`EncoderDecoderModel`] are also directly available in the model hub, e.g.,
Pretrained [`EncoderDecoderModel`] are also directly available in the model hub, e.g.:
```python
>>> # instantiate sentence fusion model
@@ -85,9 +87,6 @@ Tips:
- For summarization, sentence splitting, sentence fusion and translation, no special tokens are required for the input.
Therefore, no EOS token should be added to the end of the input.
This model was contributed by [patrickvonplaten](https://huggingface.co/patrickvonplaten). The original code can be
found [here](https://tfhub.dev/s?module-type=text-generation&subtype=module,placeholder).
## BertGenerationConfig
[[autodoc]] BertGenerationConfig