Instructions to use Tami3/HazardNet-v0.5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Tami3/HazardNet-v0.5 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Tami3/HazardNet-v0.5", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- db97ee8b72b745e63c889361609d04bb3979dc5a56bb45cdaf4759eaf90dc026
- Size of remote file:
- 5.56 kB
- SHA256:
- f41cdacee331f48197ccb900b3af1fed672301e4e4fb61ae05d988c5ae361a38
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