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https://github.com/saymrwulf/transformers.git
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4e27a4009d
* init vptq * add integration * add vptq support fix readme * add tests && format * format * address comments * format * format * address comments * format * address comments * remove debug code * Revert "remove debug code" This reverts commit ed3b3eaaba82caf58cb3aa6e865d98e49650cf66. * fix test --------- Co-authored-by: Yang Wang <wyatuestc@gmail.com> |
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| .. | ||
| transformers-all-latest-gpu | ||
| transformers-doc-builder | ||
| transformers-gpu | ||
| transformers-past-gpu | ||
| transformers-pytorch-amd-gpu | ||
| transformers-pytorch-deepspeed-amd-gpu | ||
| transformers-pytorch-deepspeed-latest-gpu | ||
| transformers-pytorch-deepspeed-nightly-gpu | ||
| transformers-pytorch-gpu | ||
| transformers-pytorch-tpu | ||
| transformers-quantization-latest-gpu | ||
| transformers-tensorflow-gpu | ||
| consistency.dockerfile | ||
| custom-tokenizers.dockerfile | ||
| examples-tf.dockerfile | ||
| examples-torch.dockerfile | ||
| exotic-models.dockerfile | ||
| jax-light.dockerfile | ||
| pipeline-tf.dockerfile | ||
| pipeline-torch.dockerfile | ||
| quality.dockerfile | ||
| README.md | ||
| tf-light.dockerfile | ||
| torch-jax-light.dockerfile | ||
| torch-light.dockerfile | ||
| torch-tf-light.dockerfile | ||
Dockers for transformers
In this folder you will find various docker files, and some subfolders.
- dockerfiles (ex:
consistency.dockerfile) present under~/dockerare used for our "fast" CIs. You should be able to use them for tasks that only need CPU. For exampletorch-lightis a very light weights container (703MiB). - subfloder contain dockerfiles used for our
slowCIs, which can be used for GPU tasks, but they are BIG as they were not specifically designed for a single model / single task. Thus the~/docker/transformers-pytorch-gpuincludes additional dependencies to allow us to run ALL model tests (saylibrosaortesseract, which you do not need to run LLMs)
Note that in both case, you need to run uv pip install -e ., which should take around 5 seconds. We do it outside the dockerfile for the need of our CI: we checkout a new branch each time, and the transformers code is thus updated.
We are open to contribution, and invite the community to create dockerfiles with potential arguments that properly choose extras depending on the model's dependencies! 🤗