Instructions to use glasses/efficientnet_b2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use glasses/efficientnet_b2 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("glasses/efficientnet_b2", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 39b57e580f64ac28ad46fc2ad6bafd77b437cae28b12ea9dd4a5b4b11eaf183e
- Size of remote file:
- 36.9 MB
- SHA256:
- b7fab1fbb6f215ab444c61ec4d143f3013cee9ea27919af3f766aa677175a7ac
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