How to use StockCast/gru with Keras:
# !pip install -U keras tensorflow huggingface_hub # Keras needs TensorFlow installed to read "hf://" paths, so the tensorflow backend is selected here; # "jax" and "torch" also work for computation once TensorFlow is installed. import os os.environ["KERAS_BACKEND"] = "tensorflow" import keras model = keras.saving.load_model("hf://StockCast/gru")
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step_ahead,prediction 1,7.893241772439781 2,7.711598031156071 3,7.378651956624558 4,7.665237742169743 5,8.099000923982533 6,8.260534658294482 7,7.770206766893334
