transformers
https://github.com/huggingface/transformers
Python
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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- Issues
- Beit image classification have different results compared from versions prior to 4.43.0
- T5Attention forward pass failing when not using KV cache
- Memory Issues when Attempting to Load GGUF Tensors in transformers
- Fix OffloadedStaticCache arguments
- Trying to train a model using automatic1111. Error - Exception training model: 'module 'transformers.integrations' has no attribute 'deepspeed''.
- [WIP] Refactor and decouple gguf checkpoint loading logic
- Fixing strided perplexity calculation for fixed-length models
- Change HybridCache.get_seq_length return type to int
- [Trainer] RandomSampler for train dataloader fails with Llama-3.2-1B using max model sequence length
- llama3.1 tokennizer from transformers has Different behavior from origin openai/tiktoken
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