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:
- d1d4d7b334ad7c1b8f5fcc8ebe1a8eed94bc1b5f8a6569949a757b86007eabc1
- Size of remote file:
- 1.02 GB
- SHA256:
- 25ccbfccd3cd2e11faf263a08998cff8cb434db1c5da5a26f9c4e7ab0a18020f
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