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")
3270e06
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
step_ahead,prediction 1,866.5969 2,867.8628 3,856.37683 4,863.1003 5,819.8972 6,828.7941 7,830.82544 8,816.67456 9,819.54553 10,816.6111 11,807.43854 12,816.00244 13,805.3711 14,811.26587 15,786.2263
