How to use aaaTman/FrontFinder with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://aaaTman/FrontFinder")
https://huggingface.co/aaaTman/FrontFinder/resolve/main/README.md
hf download hf://aaaTman/FrontFinder/README.md
curl -L -o README.md https://huggingface.co/aaaTman/FrontFinder/resolve/main/README.md
license: cc0-1.0 language: - en tags: - meteorology - atmospheric - science - fronts
