How to use StockCast/seperate 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/seperate")
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step_ahead,prediction 1,33.67129 2,33.929806 3,33.68327 4,33.662685 5,33.986515 6,33.916897 7,34.15003 8,33.994164 9,34.002335 10,33.52631 11,33.5842 12,33.69986 13,33.8273 14,33.514072 15,33.27258
