dnrops
/
transformers
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity
transformers/examples/pytorch/text-generation
History
Klaus Hipp 721ee783ca
[Docs] Fix spelling and grammar mistakes (#28825) 
* Fix typos and grammar mistakes in docs and examples

* Fix typos in docstrings and comments

* Fix spelling of `tokenizer` in model tests

* Remove erroneous spaces in decorators

* Remove extra spaces in Markdown link texts
 		2024-02-02 08:45:00 +01:00
..
README.md [Docs] Fix spelling and grammar mistakes (#28825) 2024-02-02 08:45:00 +01:00
requirements.txt make run_generation more generic for other devices (#25133) 2023-07-28 08:20:10 -04:00
run_generation.py make run_generation more generic for other devices (#25133) 2023-07-28 08:20:10 -04:00
run_generation_contrastive_search.py make run_generation more generic for other devices (#25133) 2023-07-28 08:20:10 -04:00

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=gpt2