Instructions to use Tami3/HazardNet-old with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Tami3/HazardNet-old with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Tami3/HazardNet-old", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 85f2343a26d43a7e8deeae343e18f63775386b7548cf5cfa60957f39e2351030
- Size of remote file:
- 11.4 MB
- SHA256:
- 88a3a6fcb80132f76da8aa40cdc3fccd7e5d8468ef15421f5b0c2715e85217d2
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