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/ALARABANK/forecast_next_30.csv from StockCast/seperate: direct link, hf CLI and curl.
- Browser
- Download file 396 Bytes
-
https://huggingface.co/StockCast/seperate/resolve/main/models/ALARABANK/forecast_next_30.csv
- Command line
-
hf download hf://StockCast/seperate/models/ALARABANK/forecast_next_30.csv
-
curl -L -o forecast_next_30.csv https://huggingface.co/StockCast/seperate/resolve/main/models/ALARABANK/forecast_next_30.csv
396 Bytes
| step_ahead,prediction | |
| 1,18.607292 | |
| 2,18.162107 | |
| 3,18.281506 | |
| 4,18.573349 | |
| 5,18.557825 | |
| 6,18.458807 | |
| 7,17.180166 | |
| 8,18.516962 | |
| 9,18.073664 | |
| 10,17.88492 | |
| 11,18.592735 | |
| 12,17.646816 | |
| 13,18.397783 | |
| 14,18.45302 | |
| 15,18.611877 | |
| 16,17.806572 | |
| 17,18.22071 | |
| 18,17.6129 | |
| 19,18.503235 | |
| 20,18.287657 | |
| 21,18.304358 | |
| 22,18.208303 | |
| 23,18.137995 | |
| 24,18.35203 | |
| 25,17.790106 | |
| 26,18.019466 | |
| 27,17.956852 | |
| 28,18.074709 | |
| 29,18.500563 | |
| 30,17.79845 | |