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/ACFL/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/ACFL/forecast_next_30.csv
- Command line
-
hf download hf://StockCast/seperate/models/ACFL/forecast_next_30.csv
-
curl -L -o forecast_next_30.csv https://huggingface.co/StockCast/seperate/resolve/main/models/ACFL/forecast_next_30.csv
395 Bytes
| step_ahead,prediction | |
| 1,20.988287 | |
| 2,19.372267 | |
| 3,20.381285 | |
| 4,20.32236 | |
| 5,19.913506 | |
| 6,20.200384 | |
| 7,21.265638 | |
| 8,20.357235 | |
| 9,19.579948 | |
| 10,20.170021 | |
| 11,20.053095 | |
| 12,20.785051 | |
| 13,21.37979 | |
| 14,20.797533 | |
| 15,22.09407 | |
| 16,20.1539 | |
| 17,19.421282 | |
| 18,21.318007 | |
| 19,21.60789 | |
| 20,21.024944 | |
| 21,20.424244 | |
| 22,22.89838 | |
| 23,21.16112 | |
| 24,22.145313 | |
| 25,20.544924 | |
| 26,21.009323 | |
| 27,21.500057 | |
| 28,23.047247 | |
| 29,21.524738 | |
| 30,20.884104 | |