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Changelog
π€ Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Last updated 1 day ago
adjust_attn_implementation in modeling codeWe have a migration guide that will be continuously updated available on the main...
Another fix for qwen vl models that prevented correctly loading the associated model type - this works together with https://github.com/huggingface/transformers/pull/41808 of the previous patch release.
**Full Chang...
Should not have said last patch :wink: These should be the last remaining fixes that got lost in between patches and the transition to v5.
**Full Changelog...
Last patch release for v4: We have a few small fixes for remote generation methods (e.g. group beam search), vLLM, and an offline tokenizer fix (if it's already been cached).
This release candidate is focused on fixing AutoTokenizer, expanding the dynamic weight loading support, and improving performances with MoEs!
This release candidate was focused mostly on quantization support with the new dynamic weight loader, and a few notable π¨ breaking changesπ¨:
from_pretrained is now auto!We are excited to announce the initial release of Transformers v5....
There was a hidden bug when loading models with local_files_only=True and a typo related to the recent patch.
The main fix is: https://github.com/huggingface/transformers/commit/b6055550a15a8fab367cf983b743ff68cc58d81a.
We are really sorry that this slipped through, our CIs just did not catch it.
As it affects a lot of users we are gonna yank the previous release
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