Instructions to use liuyao/QLNet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use liuyao/QLNet with timm:
import timm model = timm.create_model("hf_hub:liuyao/QLNet", pretrained=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 931a6485bba126032e8be0c273de3efbbd10b3172e826e80fd90be8dd7202453
- Size of remote file:
- 40.7 MB
- SHA256:
- 3ef3de79ee65221496ad99c3e79c50c297a7d1af5a4da11f239f0bf7ac98c0eb
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