Instructions to use sharktide/PV-FloodTrustNet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use sharktide/PV-FloodTrustNet 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/PV-FloodTrustNet") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4551a55178cd99c64588f492e099f707c56ce3e1364afe8928ea759612a7de12
- Size of remote file:
- 1.07 kB
- SHA256:
- 04f48aca040e40846cbad1e595122ef5d5e4ccdd6ab9137480009c628b5f8f4f
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