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")
https://huggingface.co/StockCast/seperate/resolve/main/models/ARGONDENIM/forecast_next_7.csv
hf download hf://StockCast/seperate/models/ARGONDENIM/forecast_next_7.csv
curl -L -o forecast_next_7.csv https://huggingface.co/StockCast/seperate/resolve/main/models/ARGONDENIM/forecast_next_7.csv
