Instructions to use WheelsTransit/HK-TransitFlow-Net with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use WheelsTransit/HK-TransitFlow-Net with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://WheelsTransit/HK-TransitFlow-Net") - Notebooks
- Google Colab
- Kaggle
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framework: tensorflow
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license: mit
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---
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# HK-TransitFlow-Net
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- tabular
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framework: tensorflow
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license: mit
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widget:
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- text: "View Demo in Space"
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output:
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url: "https://huggingface.co/spaces/WheelsTransit/HK-TransitFlow-Demo"
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# HK-TransitFlow-Net
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