transformers-stream-generator
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This is a text generation method which returns a generator, streaming out each token in real-time during inference, based on Huggingface/Transformers.
This is a text generation method which returns a generator, streaming out each token in real-time during inference, based on Huggingface/Transformers.
pip install transformers-stream-generator
from transformers_stream_generator import init_stream_support
init_stream_support()
do_stream=True in model.generate function and keep do_sample=True, then you can get a generatorgenerator = model.generate(input_ids, do_stream=True, do_sample=True)
for token in generator:
word = tokenizer.decode(token)
print(word)
FAQs
This is a text generation method which returns a generator, streaming out each token in real-time during inference, based on Huggingface/Transformers.
We found that transformers-stream-generator demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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