transformers/examples/pytorch/text-generation
Arthur 673440d073
update ruff version (#30932)
* update ruff version

* fix research projects

* Empty

* Fix errors

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Co-authored-by: Lysandre <lysandre@huggingface.co>
2024-05-22 06:40:15 +02:00
..
README.md Fix canonical model --model_type in examples (#30480) 2024-05-01 15:47:05 +01:00
requirements.txt make run_generation more generic for other devices (#25133) 2023-07-28 08:20:10 -04:00
run_generation.py update ruff version (#30932) 2024-05-22 06:40:15 +02:00
run_generation_contrastive_search.py update ruff version (#30932) 2024-05-22 06:40:15 +02:00

README.md

Language generation

Based on the script run_generation.py.

Conditional text generation using the auto-regressive models of the library: GPT, GPT-2, GPT-J, Transformer-XL, XLNet, CTRL, BLOOM, LLAMA, OPT. A similar script is used for our official demo Write With Transfomer, where you can try out the different models available in the library.

Example usage:

python run_generation.py \
    --model_type=gpt2 \
    --model_name_or_path=openai-community/gpt2