Instructions to use glasses/efficientnet_b3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use glasses/efficientnet_b3 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("glasses/efficientnet_b3", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b0865406b8fdd77cb724cd4d98f8d1197890a111bcf3af5924ddc27af02fb80c
- Size of remote file:
- 49.5 MB
- SHA256:
- b8b269d5d41587d606905fa9425da3526a0b382077aa655ef5e03969166dd585
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