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:
- d8facf87892b4a72443ba72b3178c2018b49420b56271286481df9f472bdfa36
- Size of remote file:
- 5.81 kB
- SHA256:
- 74328b9a3bf2926f9c8c1e92f437a19ebf86a65a013654bf3105c3a0d0e9bede
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