Instructions to use 1aurent/vit_small_patch16_224.lunit_dino with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use 1aurent/vit_small_patch16_224.lunit_dino with timm:
import timm model = timm.create_model("hf_hub:1aurent/vit_small_patch16_224.lunit_dino", pretrained=True) - Notebooks
- Google Colab
- Kaggle
Update config.json
Browse files- config.json +2 -2
config.json
CHANGED
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@@ -4,7 +4,7 @@
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"num_features": 384,
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"global_pool": "token",
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"pretrained_cfg": {
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"tag": "
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"custom_load": true,
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"input_size": [
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3,
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@@ -25,7 +25,7 @@
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0.5,
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0.5
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],
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-
"num_classes":
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"pool_size": null,
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"first_conv": "patch_embed.proj",
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"classifier": "head"
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"num_features": 384,
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"global_pool": "token",
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"pretrained_cfg": {
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"tag": "lunit_dino",
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"custom_load": true,
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"input_size": [
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3,
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0.5,
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0.5
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],
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+
"num_classes": 0,
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"pool_size": null,
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"first_conv": "patch_embed.proj",
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"classifier": "head"
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