Instructions to use abhash-rai/traffic-congestion-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use abhash-rai/traffic-congestion-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://abhash-rai/traffic-congestion-classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7ee924e41da1441ef36ea1205ece8ed7fdd0dc7ffa64576ab641153d84cf2531
- Size of remote file:
- 28.7 MB
- SHA256:
- 7a1dc89ea5474833d47867276026e112cb76a08e03198bfb320c6b2606fc63dd
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