Instructions to use MIDSCapstoneTeam/ContrailSentinel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use MIDSCapstoneTeam/ContrailSentinel with Keras:
# !pip install -U keras tensorflow huggingface_hub # Keras needs TensorFlow installed to read "hf://" paths, so the tensorflow backend is selected here; # "jax" and "torch" also work for computation once TensorFlow is installed. import os os.environ["KERAS_BACKEND"] = "tensorflow" import keras model = keras.saving.load_model("hf://MIDSCapstoneTeam/ContrailSentinel") - Notebooks
- Google Colab
- Kaggle
Delete saved_model.pb
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version https://git-lfs.github.com/spec/v1
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oid sha256:2fff3dd4638e56ac63b5a4482016c31cf360b234bebe322d860b7c999b135a02
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size 4329532
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