Tabular Classification
Keras
LiteRT
tensorflow
tabular
classification
ensemble
transportation
Eval Results (legacy)
Instructions to use cubis/mbta-track-predictor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use cubis/mbta-track-predictor with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://cubis/mbta-track-predictor") - Notebooks
- Google Colab
- Kaggle