Instructions to use aryaash/road-surface-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use aryaash/road-surface-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://aryaash/road-surface-classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 69ba8bd1bb567dcfd3393a59c00f55d8f228cd2d15afb0b96e0ce685533cbbca
- Size of remote file:
- 804 kB
- SHA256:
- 6e8c3b753716e00868e914c12b391500546d635c16cb6efb48895b45c0aeb99c
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