Instructions to use snap-research/efficientformer-l7-300 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use snap-research/efficientformer-l7-300 with timm:
import timm model = timm.create_model("hf_hub:snap-research/efficientformer-l7-300", pretrained=True) - Notebooks
- Google Colab
- Kaggle
update attention_ratio naming
Browse files- config.json +1 -1
config.json
CHANGED
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@@ -2,7 +2,7 @@
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"architectures": [
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"EfficientFormerForImageClassificationWithTeacher"
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],
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-
"
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"classifier": "head",
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"crop_pct": 0.9,
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"dim": 768,
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"architectures": [
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"EfficientFormerForImageClassificationWithTeacher"
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],
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+
"attention_ratio": 4,
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"classifier": "head",
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"crop_pct": 0.9,
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"dim": 768,
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