Instructions to use snap-research/efficientformer-l3-300 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use snap-research/efficientformer-l3-300 with timm:
import timm model = timm.create_model("hf-hub:snap-research/efficientformer-l3-300", pretrained=True) - Notebooks
- Google Colab
- Kaggle
Commit History
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Add TF weights (#3)
- Add TF weights (ce857b1f2fa1862e043d9ab61883464bbe76a4f9) Co-authored-by: Denisa Roberts <D-Roberts@users.noreply.huggingface.co>cc398d0
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Update README.md
Update the training epochs for this model.531596e
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Create README.md (#1)
- Create README.md (7cc0638238919d833d11c7c0364021e94c04a5b7) Co-authored-by: Alara Dirik <adirik@users.noreply.huggingface.co>bf80c53 -
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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Add feature extractor
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Add model
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initial commit
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