Instructions to use 240519P/snapchef-edibility-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use 240519P/snapchef-edibility-classifier with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://240519P/snapchef-edibility-classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3ee50280edb6020409896c3fd5b78bfb536025336863cc1743246b84ac81832c
- Size of remote file:
- 27.8 MB
- SHA256:
- 338a342a6571ea2f34e4f33d4a7cc4c3c750285e5c7d3e1a538cb498b2faf63d
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