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/ALLTEX/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/ALLTEX/forecast_next_15.csv
- Command line
-
hf download hf://StockCast/seperate/models/ALLTEX/forecast_next_15.csv
-
curl -L -o forecast_next_15.csv https://huggingface.co/StockCast/seperate/resolve/main/models/ALLTEX/forecast_next_15.csv
207 Bytes
| step_ahead,prediction | |
| 1,11.421851 | |
| 2,11.330766 | |
| 3,11.356819 | |
| 4,11.371897 | |
| 5,11.314749 | |
| 6,11.296638 | |
| 7,11.358726 | |
| 8,11.374271 | |
| 9,11.460268 | |
| 10,11.342614 | |
| 11,11.449075 | |
| 12,11.413998 | |
| 13,11.41685 | |
| 14,11.439242 | |
| 15,11.390646 | |