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@@ -26,7 +26,7 @@ Its training dataset consists of purely user-generated content [retry_and_contin
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  ### Out-of-scope use
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  ### How to use
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- This reward model can be loaded using the `AutoModelForSequenceClassification` functionality, with a GPT2 tokenizer
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  ```python
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  from transformers import AutoTokenizer, AutoModelForSequenceClassification
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  ### Out-of-scope use
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  ### How to use
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+ This reward model can be loaded using the `AutoModelForSequenceClassification` functionality, with a GPT2 tokenizer where the `pad_token_id` is set to the EOS token id, padding sides need to be set according to the configurations used during model training.
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  ```python
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  from transformers import AutoTokenizer, AutoModelForSequenceClassification
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