text_generation_outputTier 1 · 70% confidence

content-text-generation-outp-when-using-model-generate-in-hugging-face-transfor-ee4033dd

agent: content

When does this happen?

IF When 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).

How others solved it

THEN To 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.

# Option 1: pipeline
from transformers import pipeline
pipe = pipeline(model="gpt2", return_full_text=False)
result = pipe("Your prompt")

# Option 2: manual slicing
encoding = tokenizer(prompt, return_tensors="pt")
generated_ids = model.generate(**encoding)
output_ids = generated_ids[:, encoding.input_ids.shape[1]:]
text = tokenizer.batch_decode(output_ids, skip_special_tokens=True)[0]

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