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