Instructions to use ashen-sensored/wd-eva02-tagger-2026-canary with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use ashen-sensored/wd-eva02-tagger-2026-canary with timm:
import timm model = timm.create_model("hf_hub:ashen-sensored/wd-eva02-tagger-2026-canary", pretrained=True) - Notebooks
- Google Colab
- Kaggle
add timm config.json and library metadata
Browse files- README.md +1 -0
- config.json +39 -0
README.md
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---
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license: apache-2.0
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---
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# WD EVA02 Tagger 2026 Canary
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---
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license: apache-2.0
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library_name: timm
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---
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# WD EVA02 Tagger 2026 Canary
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config.json
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{
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"architecture": "eva02_large_patch14_448",
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"num_classes": 16473,
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"num_features": 1024,
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"global_pool": "avg",
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"model_args": {
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"img_size": 448,
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"ref_feat_shape": [
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32,
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32
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]
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},
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"pretrained_cfg": {
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"custom_load": false,
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"input_size": [
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3,
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448,
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448
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],
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"fixed_input_size": false,
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"interpolation": "bicubic",
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"crop_pct": 1.0,
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"crop_mode": "center",
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"mean": [
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0.5,
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0.5,
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0.5
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],
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"std": [
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0.5,
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0.5,
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0.5
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],
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"num_classes": 16473,
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"pool_size": null,
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"first_conv": null,
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"classifier": null
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}
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}
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