"What’s the Difference Between max_length and max_new_tokens?"
You’re encountering awarning in your code:UserWarning: Neither max_length nor max_new_tokens has been set, max_length will default to 20 (generation_config.max_length). Controlling max_length via the config is deprecated and max_length will be removed from the config in v5 of Transformers – we recommend using max_new_tokens to control the maximum length of the generation.To configure this properly, you should specify themax_new_tokensparameter in themodel.generate()method. This allows you to control the maximum number of new tokens generated by the model.Here’s how you canmodify your code:outputs = model.generate(input_ids, max_new_tokens=100)  # Set to desired valueIn this case, you can adjustmax_new_tokensto your preferred limit, similar to how the OpenAI playground defaults to 256 tokens, even though the model can support up to 4000 tokens.Summary of Changes:Replacemax_lengthwithmax_new_tokensin your generate method.Adjustmax_new_tokensto your desired output length based on your use case.This should resolve the warning and give you more control over the output length.