transformers
https://github.com/huggingface/transformers
Python
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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- Issues
- Fix all output_dir in test_trainer.py to use tmp_dir
- ci: mark model_parallel tests as cuda specific
- Strange behavior with attn_implementation="eager"
- Enhance DataCollatorForLanguageModeling with Configurable Token Replacement Probabilities
- xpu: parallelize() not supported for PyTorch XPU backend
- Don't show warning for `inv_freq` buffers
- RuntimeError: "rshift_cuda" not implemented for 'Half'
- Mismatch Between txt img_token and Image Count in Multimodal Processor Causes Debugging
- Fix `Seq2SeqTrainingArguments` documentation
- StopStringCriteria relies on `len(tokenizer)==model.config.vocab_size`, leading to index errors
- Docs
- Python not yet supported