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_30.csv from StockCast/seperate: direct link, hf CLI and curl.
- Browser
- Download file 398 Bytes
-
https://huggingface.co/StockCast/seperate/resolve/main/models/APEXWEAV/forecast_next_30.csv
- Command line
-
hf download hf://StockCast/seperate/models/APEXWEAV/forecast_next_30.csv
-
curl -L -o forecast_next_30.csv https://huggingface.co/StockCast/seperate/resolve/main/models/APEXWEAV/forecast_next_30.csv
398 Bytes
| step_ahead,prediction | |
| 1,11.242198 | |
| 2,11.63401 | |
| 3,10.966048 | |
| 4,9.991748 | |
| 5,11.444318 | |
| 6,13.678665 | |
| 7,10.325164 | |
| 8,14.265767 | |
| 9,14.7887 | |
| 10,14.558182 | |
| 11,10.881656 | |
| 12,14.224428 | |
| 13,13.163612 | |
| 14,14.896609 | |
| 15,14.45689 | |
| 16,14.607424 | |
| 17,13.066503 | |
| 18,11.812251 | |
| 19,13.504209 | |
| 20,13.801647 | |
| 21,13.068018 | |
| 22,14.314786 | |
| 23,14.852557 | |
| 24,13.024158 | |
| 25,14.659131 | |
| 26,15.689944 | |
| 27,13.596474 | |
| 28,14.870479 | |
| 29,14.098774 | |
| 30,11.892758 | |