Related Issues (20)
- bug in save_pretrained of transformers/generation/configuration_utils.py HOT 13
- Unable to load starcoder2 finetuned version getting quantization errors HOT 4
- Why AttentionMaskConverter to_casual_4d needs input_shape[-1] > 1? HOT 1
- Missing [existing] default config for accelerator in trainer module HOT 5
- Flash Attention 2 support for Wav2Vec2ForCTC
- Suddenly 'FileNotFoundError: [Errno 2] No such file or directory' error came, the other issues were of no help HOT 6
- Tokenization Error with Xglm? HOT 1
- Using PatchTST for self supervised pretraining. eval_loss key error even when the metric to load best model is "loss" HOT 4
- Running flax run_qa.py got errors after upgrading dependencies software HOT 4
- [LLAVA-NEXT] Warning: The model weights are not tied. Please use the tie_weightsmethod before using the infer_auto_device function. HOT 8
- Gemma Tokenizer add padding to the left, but the code to find sequence length assume pad tokens are added to the right
- Add `mps` as supported device for apple silicon to the `Pipeline` class HOT 2
- Compatibility of flash attention 2 and type conversion due to accelerator.prepare HOT 2
- Llama uses significantly more memory in 4.38 & 4.39 than 4.37 with identical code HOT 6
- Using run_mlm.py with torch version 1.9.0+cu111 HOT 2
- Model trained with Flash Attention 2.0 raises "RuntimeError: query and key must have the same dtype" when generating HOT 6
- [MusicGen] SDPA gives nans/infs during sampling HOT 3
- Mamba excessive memory usage HOT 7
- Token-classification, pipeline leaving out answers HOT 3
- TypeError: BARTDecoder.prepare_inputs_for_inference() got an unexpected keyword argument 'cache_position' HOT 2
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from transformers.