mirror of
https://github.com/huggingface/transformers.git
synced 2025-07-31 02:02:21 +06:00
05a90579a8
* add pretokenization arguments * add pretokenization script * add support for pretokenized data * reformat code * fix run command for training * fix model call from config * remove a package * add comments on pretokenization in the readme * remove explicit parallelization Co-authored-by: Leandro von Werra <lvwerra@users.noreply.github.com> * update readme Co-authored-by: Leandro von Werra <lvwerra@users.noreply.github.com> * update readme -remove username Co-authored-by: Leandro von Werra <lvwerra@users.noreply.github.com> * update readme -remove username Co-authored-by: Leandro von Werra <lvwerra@users.noreply.github.com> * keep data parallelization * reformat code * reformat code * update readme * reformat code * Update examples/research_projects/codeparrot/README.md Co-authored-by: Leandro von Werra <lvwerra@users.noreply.github.com> Co-authored-by: Leandro von Werra <lvwerra@users.noreply.github.com> Co-authored-by: Loubna ben allal <loubnabenallal@gmail.com> |
||
|---|---|---|
| .. | ||
| adversarial | ||
| bert-loses-patience | ||
| bertabs | ||
| bertology | ||
| codeparrot | ||
| decision_transformer | ||
| deebert | ||
| distillation | ||
| fsner | ||
| jax-projects | ||
| longform-qa | ||
| luke | ||
| lxmert | ||
| mlm_wwm | ||
| mm-imdb | ||
| movement-pruning | ||
| onnx/summarization | ||
| performer | ||
| pplm | ||
| quantization-qdqbert | ||
| rag | ||
| rag-end2end-retriever | ||
| robust-speech-event | ||
| self-training-text-classification | ||
| seq2seq-distillation | ||
| tapex | ||
| visual_bert | ||
| wav2vec2 | ||
| xtreme-s | ||
| zero-shot-distillation | ||
| README.md | ||
Research projects
This folder contains various research projects using 🤗 Transformers. They are not maintained and require a specific version of 🤗 Transformers that is indicated in the requirements file of each folder. Updating them to the most recent version of the library will require some work.
To use any of them, just run the command
pip install -r requirements.txt
inside the folder of your choice.
If you need help with any of those, contact the author(s), indicated at the top of the README of each folder.