transformers
https://github.com/huggingface/transformers
Python
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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- Issues
- Trainer + FSDP - Llama 3.2 1B full fine-tuning: "size mismatch for model.embed_tokens.weight: copying a param with shape torch.Size([65667584]) from checkpoint, the shape in current model is torch.Size([128256, 2048])"
- Add TimesFM Time Series Forecasting Model
- add qwen2vl for sequence classification
- [WIP] create two failing test, highlighting expectations
- Add support for Aria model
- Adding support for OpenLMForCausalLM from DataComp
- Loading model on meta device with `PretrainedModel.from_pretrained` does not work with .bin checkpoints, or when specifying `torch_dtype="auto"`
- Add MinGRU
- [WIP] Add diffllama
- Support for torch._dynamo.export for Phi3
- Docs
- Python not yet supported