NameError: name 'packaging' is not defined
hengxt opened this issue · 1 comments
hengxt commented
Describe the bug
dependence:
huggingface-hub 0.25.2
packaging 24.1
ultralytics 8.1.34

Reproduction
from ultralytics import YOLOv10
import packaging
model = YOLOv10.from_pretrained('jameslahm/yolov10n')
source = 'http://images.cocodataset.org/val2017/000000039769.jpg'
model.predict(source=source, save=True)
Logs
Traceback (most recent call last):
File "C:\Users\A\.conda\envs\Circuit2Netlist\lib\site-packages\huggingface_hub\hub_mixin.py", line 808, in _from_pretrained
return cls._load_as_safetensor(model, model_file, map_location, strict)
File "C:\Users\A\.conda\envs\Circuit2Netlist\lib\site-packages\huggingface_hub\hub_mixin.py", line 832, in _load_as_safetensor
if packaging.version.parse(safetensors.__version__) < packaging.version.parse("0.4.3"): # type: ignore [attr-defined]
NameError: name 'packaging' is not defined
### System info
```shell
- huggingface_hub version: 0.25.2
- Platform: Windows-10-10.0.19045-SP0
- Python version: 3.9.20
- Running in iPython ?: No
- Running in notebook ?: No
- Running in Google Colab ?: No
- Running in Google Colab Enterprise ?: No
- Token path ?: C:\Users\A\.cache\huggingface\token
- Has saved token ?: True
- Who am I ?:
- Configured git credential helpers: manager
- FastAI: N/A
- Tensorflow: N/A
- Torch: 2.4.1
- Jinja2: 3.1.4
- Graphviz: N/A
- keras: N/A
- Pydot: N/A
- Pillow: 10.4.0
- hf_transfer: N/A
- gradio: N/A
- tensorboard: N/A
- numpy: 1.26.4
- pydantic: N/A
- aiohttp: N/A
- ENDPOINT: https://huggingface.co
- HF_HUB_CACHE: C:\Users\A\.cache\huggingface\hub
- HF_ASSETS_CACHE: C:\Users\A\.cache\huggingface\assets
- HF_TOKEN_PATH: C:\Users\A\.cache\huggingface\token
- HF_HUB_OFFLINE: False
- HF_HUB_DISABLE_TELEMETRY: False
- HF_HUB_DISABLE_PROGRESS_BARS: None
- HF_HUB_DISABLE_SYMLINKS_WARNING: False
- HF_HUB_DISABLE_EXPERIMENTAL_WARNING: False
- HF_HUB_DISABLE_IMPLICIT_TOKEN: False
- HF_HUB_ENABLE_HF_TRANSFER: False
- HF_HUB_ETAG_TIMEOUT: 10
- HF_HUB_DOWNLOAD_TIMEOUT: 10