Instructions to use glasses/efficientnet_lite0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use glasses/efficientnet_lite0 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("glasses/efficientnet_lite0", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e49b751d1810ec461d8b32f956b48d63aae6cfc9670cc130263d9800ba251882
- Size of remote file:
- 18.9 MB
- SHA256:
- 66fbe987a8526e063a1ccc75db8e6586e1c339db36e9f895d0b3b043d66a41ee
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