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text_generation_output
content-text-generation-outp-when-using-model-generate-in-hugging-face-transfor-ee4033dd
IFWhen using model.generate() in Hugging Face Transformers, the output tokens include the input prompt, and naive substring removal fails due to tokenizer modifications (e.g., space before comma).
THENTo get only the generated text without the prompt, either: (a) use the pipeline with return_full_text=False, or (b) after generation, slice the output tensor to exclude the input token IDs before decoding: tokenizer.batch_decode(gen_tokens[:, input_ids.shape[1]:], skip_special_tokens=True). Note that this works correctly only when all batch items share the same input length or batch size is 1.
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