[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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@@ -38,7 +38,7 @@ model = GPTNeoXForCausalLM.from_pretrained("EleutherAI/gpt-neox-20b").half().cud
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GPT-NeoX-20B also has a different tokenizer from the one used in GPT-J-6B and GPT-Neo. The new tokenizer allocates
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additional tokens to whitespace characters, making the model more suitable for certain tasks like code generation.
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### Generation
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## Usage example
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The `generate()` method can be used to generate text using GPT Neo model.
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@@ -61,7 +61,7 @@ The `generate()` method can be used to generate text using GPT Neo model.
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>>> gen_text = tokenizer.batch_decode(gen_tokens)[0]
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```
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## Documentation resources
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## Resources
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- [Causal language modeling task guide](../tasks/language_modeling)
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