Instructions to use glasses/efficientnet_b6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use glasses/efficientnet_b6 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("glasses/efficientnet_b6", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 60e8a2fd40bcf80e4078bb3b217a9c082e8105ae6a2a0bbe625d8494843e6c65
- Size of remote file:
- 173 MB
- SHA256:
- 90424470e6f8e14b0ac2c301a27920cdf0c0ee2f00c36eb27dcb56c304ae30a4
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