mirror of
https://github.com/huggingface/transformers.git
synced 2025-07-31 02:02:21 +06:00
651408a077
* try to stylify using ruff * might need to remove these changes? * use ruf format andruff check * use isinstance instead of type comparision * use # fmt: skip * use # fmt: skip * nits * soem styling changes * update ci job * nits isinstance * more files update * nits * more nits * small nits * check and format * revert wrong changes * actually use formatter instead of checker * nits * well docbuilder is overwriting this commit * revert notebook changes * try to nuke docbuilder * style * fix feature exrtaction test * remve `indent-width = 4` * fixup * more nits * update the ruff version that we use * style * nuke docbuilder styling * leve the print for detected changes * nits * Remove file I/O Co-authored-by: charliermarsh <charlie.r.marsh@gmail.com> * style * nits * revert notebook changes * Add # fmt skip when possible * Add # fmt skip when possible * Fix * More ` # fmt: skip` usage * More ` # fmt: skip` usage * More ` # fmt: skip` usage * NIts * more fixes * fix tapas * Another way to skip * Recommended way * Fix two more fiels * Remove asynch Remove asynch --------- Co-authored-by: charliermarsh <charlie.r.marsh@gmail.com> |
||
|---|---|---|
| .. | ||
| adversarial | ||
| bert-loses-patience | ||
| bertabs | ||
| bertology | ||
| codeparrot | ||
| decision_transformer | ||
| deebert | ||
| distillation | ||
| fsner | ||
| information-gain-filtration | ||
| jax-projects | ||
| layoutlmv3 | ||
| 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 | ||
| vqgan-clip | ||
| 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.