Instructions to use snap-research/efficientformer-l1-300 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use snap-research/efficientformer-l1-300 with timm:
import timm model = timm.create_model("hf-hub:snap-research/efficientformer-l1-300", pretrained=True) - Notebooks
- Google Colab
- Kaggle
Commit History
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Add TF weights (#3)
- Add TF weights (dafe74314c1a9837ce857cca2eda89a07e91af8b) Co-authored-by: Denisa Roberts <D-Roberts@users.noreply.huggingface.co>4fba711
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Update README.md
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Update README.md
Update the training epoch in README for this model.621f627
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Update README.md (#2)
- Update README.md (ea33f98c1d5a2b916224b97c59e90c5c2d852eba) Co-authored-by: Alara Dirik <adirik@users.noreply.huggingface.co>bd02b01
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Add feature extractor
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Add model
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Update config.json
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Update depths, hidden_sizes namings
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Create README.md
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Add feature extractor
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Add model
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initial commit
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