Instructions to use sharktide/FireTrustNet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use sharktide/FireTrustNet with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://sharktide/FireTrustNet") - Notebooks
- Google Colab
- Kaggle
Upload 2 files
Browse files- FireTrustNet.h5 +3 -0
- firetrust_scaler.pkl +3 -0
FireTrustNet.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:10584a50a2b1ed6151516846c1e293a4282ff0e308dc106349e9c8e295437557
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firetrust_scaler.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:04849857a8cee693a6061d2f059d775d7ce95f8605496cd6a300c38e20bad861
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size 1039
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