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:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("glasses/efficientnet_b3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from glasses/efficientnet_b3: direct link, hf CLI and curl.
- Browser
- Download file 49.5 MB
-
https://huggingface.co/glasses/efficientnet_b3/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://glasses/efficientnet_b3/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/glasses/efficientnet_b3/resolve/main/pytorch_model.bin
49.5 MB
- Xet hash:
- b0865406b8fdd77cb724cd4d98f8d1197890a111bcf3af5924ddc27af02fb80c
- Size of remote file:
- 49.5 MB
- SHA256:
- b8b269d5d41587d606905fa9425da3526a0b382077aa655ef5e03969166dd585
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