Instructions to use aap9002/RGB_Optic_Flow_Bend_Classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use aap9002/RGB_Optic_Flow_Bend_Classification with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://aap9002/RGB_Optic_Flow_Bend_Classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ae0851c2a2ecc707528ab3dd66a51c864dd2fc6ed89d03f430fcef95e3ec3090
- Size of remote file:
- 509 MB
- SHA256:
- 3b3a93f7ba4349c787a7c0e84ced5fcc5d2f8cea50e4b06cde4c858f7b5d40ac
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