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* setup * start the purge * continue the purge * more and more * more * continue the quest: remove loading tf/jax checkpoints * style * fix configs * oups forgot conflict * continue * still grinding * always more * in tje zone * never stop * should fix doc * fic * fix * fix * fix tests * still tests * fix non-deterministic * style * remove last rebase issues * onnx configs * still on the grind * always more references * nearly the end * could it really be the end? * small fix * add converters back * post rebase * latest qwen * add back all converters * explicitly add functions in converters * re-add
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). - subfolders 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! 🤗