transformers
https://github.com/huggingface/transformers
Python
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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- Issues
- 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
- CI: avoid human error, automatically infer generative models
- Support TF32 flag for MUSA backend
- Add warning and info message for beta and gamma parameters
- MultiTask Classification and label_names on Trainer
- Supporting Padding in llava processor
- Is it possible to infer the model separately through encoder.onnx and decoder.onnx
- Add LlavaImageProcessor
- [Zero-shot image classification pipeline] Remove tokenizer_kwargs
- Multi-GPU setup: indices should be either on cpu or on the same device as the indexed tensor (cuda:1)
- Docs
- Python not yet supported