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
Commit History
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Adding `safetensors` variant of this model
Verified signatureThis is an automated PR created with https://huggingface.co/spaces/safetensors/convert This new file is equivalent to `pytorch_model.bin` but safe in the sense that no arbitrary code can be put into it. These files also happen to load much faster than their pytorch counterpart: https://colab.research.google.com/github/huggingface/notebooks/blob/main/safetensors_doc/en/speed.ipynb The widgets on your model page will run using this model even if this is not merged making sure the file actually works. If you find any issues: please report here: https://huggingface.co/spaces/safetensors/convert/discussions Feel free to ignore this PR.f00879a
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Update README.md
Update the training epochs for this model.685e19b
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Create README.md (#1)
- Create README.md (a38461a2f5d7abe7034cec8f5ef77c5fb4d348e4) Co-authored-by: Alara Dirik <adirik@users.noreply.huggingface.co>09d2d3f -
Add feature extractor
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Add model
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Update config.json
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update attention_ratio naming
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Update depths, hidden_sizes namings
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initial commit
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