Instructions to use sharktide/FlashFloodTrustNet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use sharktide/FlashFloodTrustNet 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/FlashFloodTrustNet") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f5ec0ebf8ee4c0e022b5322d426059720785be0e0721afbf3e2a1db20caa81a3
- Size of remote file:
- 45.5 kB
- SHA256:
- f350013947a7c817b7e889f3a2a0a661f99b6fdfe9bdfd76bb7bb4a9076efa3e
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