[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
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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@@ -32,7 +32,9 @@ that leverage DialoGPT generate more relevant, contentful and context-consistent
systems. The pre-trained model and training pipeline are publicly released to facilitate research into neural response
generation and the development of more intelligent open-domain dialogue systems.*
Tips:
The original code can be found [here](https://github.com/microsoft/DialoGPT).
## Usage tips
- DialoGPT is a model with absolute position embeddings so it's usually advised to pad the inputs on the right rather
than the left.
@@ -47,7 +49,8 @@ follow the OpenAI GPT-2 to model a multiturn dialogue session as a long text and
modeling. We first concatenate all dialog turns within a dialogue session into a long text x_1,..., x_N (N is the
sequence length), ended by the end-of-text token.* For more information please confer to the original paper.
<Tip>
DialoGPT's architecture is based on the GPT2 model, so one can refer to [GPT2's documentation page](gpt2).
DialoGPT's architecture is based on the GPT2 model, refer to [GPT2's documentation page](gpt2) for API reference and examples.
The original code can be found [here](https://github.com/microsoft/DialoGPT).
</Tip>