Instructions to use jameslahm/lsnet_t with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use jameslahm/lsnet_t with timm:
import timm model = timm.create_model("hf_hub:jameslahm/lsnet_t", pretrained=True) - Notebooks
- Google Colab
- Kaggle
Add model
Browse files- config.json +1 -1
config.json
CHANGED
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@@ -27,7 +27,7 @@
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"head.linear",
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"head_dist.linear"
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],
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-
"
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"architecture": "lsnet_t",
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"num_features": 384,
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"labels": [
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"head.linear",
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"head_dist.linear"
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],
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+
"hf_hub": "jameslahm/lsnet_t",
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"architecture": "lsnet_t",
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"num_features": 384,
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"labels": [
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