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/APEXSPINN/forecast_next_15.csv from StockCast/seperate: direct link, hf CLI and curl.
- Browser
- Download file 208 Bytes
-
https://huggingface.co/StockCast/seperate/resolve/main/models/APEXSPINN/forecast_next_15.csv
- Command line
-
hf download hf://StockCast/seperate/models/APEXSPINN/forecast_next_15.csv
-
curl -L -o forecast_next_15.csv https://huggingface.co/StockCast/seperate/resolve/main/models/APEXSPINN/forecast_next_15.csv
208 Bytes
| step_ahead,prediction | |
| 1,137.34926 | |
| 2,137.06015 | |
| 3,137.82317 | |
| 4,136.29158 | |
| 5,137.04033 | |
| 6,135.02454 | |
| 7,136.86545 | |
| 8,136.69626 | |
| 9,136.48267 | |
| 10,132.82535 | |
| 11,131.33116 | |
| 12,135.54407 | |
| 13,133.62051 | |
| 14,134.05331 | |
| 15,134.86606 | |