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/AMBEEPHA/forecast_next_15.csv from StockCast/seperate: direct link, hf CLI and curl.
- Browser
- Download file 200 Bytes
-
https://huggingface.co/StockCast/seperate/resolve/main/models/AMBEEPHA/forecast_next_15.csv
- Command line
-
hf download hf://StockCast/seperate/models/AMBEEPHA/forecast_next_15.csv
-
curl -L -o forecast_next_15.csv https://huggingface.co/StockCast/seperate/resolve/main/models/AMBEEPHA/forecast_next_15.csv
200 Bytes
| step_ahead,prediction | |
| 1,866.5969 | |
| 2,867.8628 | |
| 3,856.37683 | |
| 4,863.1003 | |
| 5,819.8972 | |
| 6,828.7941 | |
| 7,830.82544 | |
| 8,816.67456 | |
| 9,819.54553 | |
| 10,816.6111 | |
| 11,807.43854 | |
| 12,816.00244 | |
| 13,805.3711 | |
| 14,811.26587 | |
| 15,786.2263 | |