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")
807e481
1
2
3
4
5
6
7
8
9
step_ahead,prediction 1,49.328396 2,49.392696 3,48.4335 4,49.378677 5,48.511745 6,49.104126 7,49.01945
