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 1,9.335785323837772 2,9.42677040224274 3,9.359715099719663 4,9.421387251447886 5,9.858722206565242 6,9.808151965569705 7,10.063362115581208
