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transformers/examples/text-generation
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Boris Dayma 995a958dd1
feat: allow prefix for any generative model (#5885) 
* feat: allow padding_text for any generative model

* docs(pipelines.py): correct typo

* Update src/transformers/pipelines.py

Co-authored-by: Sam Shleifer <sshleifer@gmail.com>

* feat: rename padding_text to prefix

* fix: cannot tokenize empty text

* fix: pass prefix arg to pipeline

* test: add prefix to text-generetation pipeline

* style: fix style

* style: clean code and variable name more explicit

* set arg docstring to optional

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

Co-authored-by: Sam Shleifer <sshleifer@gmail.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
 		2020-09-07 03:03:45 -04:00
..
pplm Black 20 release 2020-08-26 17:20:22 +02:00
README.md [doc] Fix broken links + remove crazy big notebook 2020-05-07 18:44:18 -04:00
run_generation.py feat: allow prefix for any generative model (#5885) 2020-09-07 03:03:45 -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, Transformer-XL, XLNet, CTRL. 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