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
Update QLNet_symmetry.ipynb
Browse files- QLNet_symmetry.ipynb +1 -1
QLNet_symmetry.ipynb
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@@ -28,7 +28,7 @@
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"metadata": {},
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"outputs": [],
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"source": [
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"state_dict = torch.load('
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]
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},
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{
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"metadata": {},
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"outputs": [],
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"source": [
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"state_dict = torch.load('qlnet22-16m.pth.tar')"
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]
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},
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{
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