Instructions to use StockCast/seperate with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
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") - Notebooks
- Google Colab
- Kaggle
Download models/APEXWEAV/forecast_next_15.csv from StockCast/seperate: direct link, hf CLI and curl.
- Browser
- Download file 206 Bytes
-
https://huggingface.co/StockCast/seperate/resolve/main/models/APEXWEAV/forecast_next_15.csv
- Command line
-
hf download hf://StockCast/seperate/models/APEXWEAV/forecast_next_15.csv
-
curl -L -o forecast_next_15.csv https://huggingface.co/StockCast/seperate/resolve/main/models/APEXWEAV/forecast_next_15.csv
206 Bytes
| step_ahead,prediction | |
| 1,7.642368 | |
| 2,10.959578 | |
| 3,12.481804 | |
| 4,9.394929 | |
| 5,10.937639 | |
| 6,13.450341 | |
| 7,13.396951 | |
| 8,10.786816 | |
| 9,12.807626 | |
| 10,11.540062 | |
| 11,10.311367 | |
| 12,11.139788 | |
| 13,13.301834 | |
| 14,13.765095 | |
| 15,13.078116 | |