transformers
488a179c - Fixing batching pipelines on single items for ChunkPipeline (#21132)

Commit

2 years ago

Fixing batching pipelines on single items for ChunkPipeline (#21132) * Fixing #20783 * Update src/transformers/pipelines/base.py * Fixing some tests. * Fixup. * Remove ffmpeg dep + a bit more relaxed for bigbird QA precision. * Better dataset. * Prevent failing on TF. * Better condition. We can't use `can_use_iterator` since we cannot use it directly.

References

#21132 - Fixing batching pipelines on single items for ChunkPipeline

#27720 - Add common processor tests

#29969 - [SigLIP] Add fast tokenizer

#32831 - [Docs] Update resources

#33111 - [Backbone] Remove out_features everywhere

#33174 - [Zero-shot image classification pipeline] Remove tokenizer_kwargs

#39821 - Support MetaCLIP 2

#58 - Add EoMT DINOv3 model

#59 - Fix attention mask handling in EoMT-DINOv3 converter

#41212 - Add EoMT with DINOv3 backbone

#62 - Add initial DEIMv2 model implementation

Author

Narsil

Parents

fa906a26

transformers 488a179c - Fixing batching pipelines on single items for ChunkPipeline (#21132)

transformers
488a179c - Fixing batching pipelines on single items for ChunkPipeline (#21132)