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/ACTIVEFINE/forecast_next_15.csv from StockCast/seperate: direct link, hf CLI and curl.
- Browser
- Download file 207 Bytes
-
https://huggingface.co/StockCast/seperate/resolve/main/models/ACTIVEFINE/forecast_next_15.csv
- Command line
-
hf download hf://StockCast/seperate/models/ACTIVEFINE/forecast_next_15.csv
-
curl -L -o forecast_next_15.csv https://huggingface.co/StockCast/seperate/resolve/main/models/ACTIVEFINE/forecast_next_15.csv
207 Bytes
| step_ahead,prediction | |
| 1,10.935817 | |
| 2,10.020216 | |
| 3,10.456888 | |
| 4,9.7509575 | |
| 5,10.724452 | |
| 6,10.104537 | |
| 7,10.141708 | |
| 8,9.957847 | |
| 9,10.074298 | |
| 10,10.505628 | |
| 11,10.646801 | |
| 12,10.620387 | |
| 13,10.483844 | |
| 14,10.527757 | |
| 15,10.987778 | |