Related Issues (20)
- [Bug] Modifying normalizer for pretrained tokenizers don't consistently work HOT 1
- Failed to import transformers HOT 6
- Generation with HybridCache fails (affecting Gemma-2) HOT 2
- Qwen2-1.5B eos_token NoneType Error prevents generation HOT 2
- Vit-hybrid is deprecated, however still shown in the official documentation (with broken links) HOT 4
- compute_metric(eval_pred) in trainer is not mini-batch HOT 2
- transformers.pipeline does not load tokenizer passed as string for custom models HOT 1
- Do we need a config to change `padding_side='left` before the evaluation? HOT 5
- Label Leakage in Gemma 2 Finetuning HOT 3
- QLORA + FSDP distributed fine-tuning failed at the end during model saving stage HOT 4
- Error running inference on CogVLM2 when distributing it on multiple GPUs: Expected all tensors to be on the same device, but found at least two devices HOT 2
- Mismatch with epoch when using gradient_accumulation HOT 3
- AttributeError: 'str' object has no attribute 'shape' HOT 4
- Whisper - list index out of range with word level timestamps HOT 4
- NameError: free variable 'state_dict' referenced before assignment in enclosing scope HOT 3
- Any config for DeBERTa series as decoders for TSDAE? HOT 3
- Unable to load models with adapter weights in offline mode HOT 3
- meta-llama/Llama-2-7b-chat-hf tokenizer `model_max_length` attribute needs to be fixed.
- When I used galore, the learning rate was set to 8e-6, but the training rate was 0.001 HOT 7
- Add `bot_token` attribute to `PreTrainedTokenizer` and `PreTrainedTokenizerFast` HOT 1
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from transformers.