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/ASIAPACINS/forecast_next_30.csv from StockCast/seperate: direct link, hf CLI and curl.
- Browser
- Download file 395 Bytes
-
https://huggingface.co/StockCast/seperate/resolve/main/models/ASIAPACINS/forecast_next_30.csv
- Command line
-
hf download hf://StockCast/seperate/models/ASIAPACINS/forecast_next_30.csv
-
curl -L -o forecast_next_30.csv https://huggingface.co/StockCast/seperate/resolve/main/models/ASIAPACINS/forecast_next_30.csv
395 Bytes
| step_ahead,prediction | |
| 1,33.41043 | |
| 2,33.351727 | |
| 3,33.454636 | |
| 4,33.34947 | |
| 5,33.432453 | |
| 6,33.071705 | |
| 7,33.68689 | |
| 8,33.569366 | |
| 9,33.339897 | |
| 10,33.807655 | |
| 11,33.457966 | |
| 12,33.722157 | |
| 13,33.67571 | |
| 14,33.487732 | |
| 15,33.492985 | |
| 16,33.584118 | |
| 17,33.920006 | |
| 18,34.179737 | |
| 19,33.45131 | |
| 20,33.736286 | |
| 21,33.78462 | |
| 22,34.239048 | |
| 23,33.420006 | |
| 24,33.806953 | |
| 25,33.717865 | |
| 26,33.677277 | |
| 27,33.990005 | |
| 28,34.107517 | |
| 29,33.80245 | |
| 30,34.14268 | |