transformers
https://github.com/huggingface/transformers
Python
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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- Issues
- prune_heads() method for AutoModelForCausalLM
- How to use hugginface for training: google-t5/t5-base
- Agents - Delineate sequences with easier tags
- Add propainter
- The model's address is https://huggingface.co/Xenova/nllb-200-distilled-600M/tree/main/onnx。I don't know how to load encode.onnx and decoder.onnx, and successfully translate a sentence into another language. Can you help me write an inference code to achieve the translation effect through the encoder and decoder? thank you
- Add warning and info message for beta and gamma parameters
- Is it possible to infer the model separately through encoder.onnx and decoder.onnx
- [Zero-shot image classification pipeline] Remove tokenizer_kwargs
- Add Sapiens model
- Tensor size mismatch when trying to run RT-DETR on multiple gpus
- Docs
- Python not yet supported