Comments (2)
check on your permissions to your file . might work as it says Access is denied . use CHMOD and provide read and write access for the specif model path.
from transformers.
I am running this on windows 10 using python in miniconda.
from transformers.
Related Issues (20)
- Have `_is_peft_model` check if there's any peft submodule/Allow quantised training HOT 2
- Wav2vec2 model has unknown attributes weight_g/weight_v when DeepSpeed ZeRO-3 is enabled HOT 2
- Add IRIS
- How to get the data seen by the model during training? HOT 2
- ImportError: Using `bitsandbytes` 8-bit quantization requires Accelerate: `pip install accelerate` and the latest version of bitsandbytes: `pip install -i https://pypi.org/simple/ bitsandbytes` HOT 1
- RuntimeError: Failed to import transformers.generation.utils because of the following error (look up to see its traceback): cannot import name 'GenerateOutput' from partially initialized module 'transformers.generation.utils' (most likely due to a circular import) HOT 2
- GGUF interaction with Transformers using AutoModel Class HOT 1
- transformers 4.41.0 breaks generate() for T5 HOT 1
- add_generation_prompt=False in Tokenizer.apply_chat_template has no effect HOT 6
- Logging to wandb breaks FSDP in 4.41.0
- WandbCallback always (!) uploads entire model checkpoint to wandb HOT 6
- The implementation of ROPE seems a little off for k HOT 1
- Unable to run FLAN-T5 inference on GCP TPU v3 (TF 2.16.1) HOT 10
- Using context length of 60, trying to predict next 7 days Close price. Error is : Lags cannot go further than history length HOT 8
- Chatdoctor
- DeformableDETR two stage not support bfloat16
- ModuleNotFoundError: No module named 'torch.distributed.checkpoint.format_utils' HOT 4
- Training hangs at the first gradient syncing of an MoE model while using deepspeed
- Title: CUDA RuntimeError: Unspecified Launch Failure during Training HOT 6
- RuntimeError: expected mat1 and mat2 to have the same dtype, but got: float != c10::BFloat16 HOT 6
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from transformers.