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 1,23.573992559313776 2,34.549443507194525 3,28.480551694333553 4,26.69681711047888 5,33.44800829291344 6,29.263099071383476 7,28.059742726385593
