Instructions to use mervess/FCD-Solar with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use mervess/FCD-Solar with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://mervess/FCD-Solar") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 952f6b379ccbb8cd32eff2a07edc867040302863c22e346b2ae377bd2051d191
- Size of remote file:
- 11.7 MB
- SHA256:
- bc3f50c24b9e15379f8e81b955852b36e95e9090402c3ea3e3fd9a642a966e8a
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