transformers
https://github.com/huggingface/transformers
Python
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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- Issues
- Add MiMo V2 multimodal support, including MiMo-V2.5, MiMo-V2.6-Flash-RL, MiMo-V2.6-Pro-RL
- Add a DiffusionSampler contract for diffusion generate
- Add Bolmo
- [Model] LFM3: Add the LFM3 family (Text, VL, Audio, Omni)
- 🚨 Exporters: `ExportArtifacts`, Hub save/load, one backend registry
- PocketTTS processing integration tests fail: metadata.json not found after bucket download
- [Gemma3n] Fix FA2 vs eager equivalence tests
- fix(got_ocr2): ensure consistent bounding box normalization for numpy images
- DataCollatorForLanguageModeling fails with whole-word masking and dynamic padding
- Trainer scales the loss of heads that take `**kwargs` but return a mean loss by `world_size * gradient_accumulation_steps` (BERT family, BART/T5, ...)
- Docs
- Python not yet supported