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:
- 2551b91a433a9808e0ed90ce0a44ab8b2b5a86e46fab675384ee1453c38870c2
- Size of remote file:
- 1.01 GB
- SHA256:
- ebbd84ac9e73c67b849bc2937d9131e078c7bd6dc6940a3a0a34194b586bcb8c
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