Instructions to use aaaTman/FrontFinder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
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") - Notebooks
- Google Colab
- Kaggle
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Download README.md from aaaTman/FrontFinder: direct link, hf CLI and curl.
- Browser
- Download file 92 Bytes
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https://huggingface.co/aaaTman/FrontFinder/resolve/main/README.md
- Command line
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hf download hf://aaaTman/FrontFinder/README.md
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curl -L -o README.md https://huggingface.co/aaaTman/FrontFinder/resolve/main/README.md
92 Bytes
| license: cc0-1.0 | |
| language: | |
| - en | |
| tags: | |
| - meteorology | |
| - atmospheric | |
| - science | |
| - fronts | |