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:
- 0027ebeb27b14691053de56b501d58fe3f1fa3dd120d73e1fe69b7611f818a31
- Size of remote file:
- 305 MB
- SHA256:
- 157e90aca337308af192feb2ffe20e9133356ddc2d6d000c1e9c73cb7855a469
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