Comments (1)
Yes! fixed the comment
from transformers.
Related Issues (20)
- Llama3 with LlamaForSequenceClassification - Shape mismatch error HOT 2
- Cannot replicate results from object detection task guide HOT 9
- Idefics2 fine-tuning: Error when unscale_gradients called on FP16 gradients during training with transformers and accelerate HOT 1
- Wav2Vec2CTCTokenizer adds random unknown tokens to encoded input HOT 1
- MLFlowCallback MLFLOW_RUN_ID not used HOT 1
- Correct check for SDPA in Vision Language Models HOT 1
- KeyError Issue Reason HOT 1
- ValueError Reason HOT 7
- Issue with `output_router_logits` Parameter Not Being Passed Correctly in `SwitchTransformersForConditionalGeneration`
- Make fx traced model with the use of `past_key_values` pickable again?
- Community contribution: enable dynamic resolution input for more vision models. HOT 5
- mistralai/Mixtral-8x7B-v0.1 bfloat16 much slower than FP32 on Intel EMR CPU HOT 3
- ReadTimeOutError with from_pretrained for some model checkpoints only HOT 1
- The Phi-3 tokenizer is not inverting the chat template correctly. HOT 3
- i cannot find the code that transformers trainer model_wrapped by deepspeed , i can find the theory about model_wrapped was wraped by DDP(Deepspeed(transformer model )) ,but i only find the code transformers model wrapped by ddp, where is the deepspeed wrapped ? thanks ^-^ HOT 4
- Whisper Translation on low resource languages
- Cache in different devices when use split model with dispatch_model() function and model.generate()
- ChatGLM3-6b测试模型时报错AttributeError: can't set attribute HOT 1
- i cannot find the code that transformers trainer model_wrapped by deepspeed , i can find the theory about model_wrapped was wraped by DDP(Deepspeed(transformer model )) ,but i only find the code transformers model wrapped by ddp, where is the deepspeed wrapped ? thanks ^-^ HOT 1
- AutoModal how to enable TP for extremly large models? HOT 2
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from transformers.