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/ADVENT/forecast_next_30.csv from StockCast/seperate: direct link, hf CLI and curl.
- Browser
- Download file 397 Bytes
-
https://huggingface.co/StockCast/seperate/resolve/main/models/ADVENT/forecast_next_30.csv
- Command line
-
hf download hf://StockCast/seperate/models/ADVENT/forecast_next_30.csv
-
curl -L -o forecast_next_30.csv https://huggingface.co/StockCast/seperate/resolve/main/models/ADVENT/forecast_next_30.csv
397 Bytes
| step_ahead,prediction | |
| 1,16.323309 | |
| 2,17.560467 | |
| 3,17.858372 | |
| 4,17.544094 | |
| 5,17.597822 | |
| 6,17.713154 | |
| 7,17.445375 | |
| 8,18.56638 | |
| 9,17.112276 | |
| 10,18.922445 | |
| 11,17.763735 | |
| 12,18.18959 | |
| 13,17.939823 | |
| 14,19.13088 | |
| 15,18.212414 | |
| 16,19.072737 | |
| 17,18.42906 | |
| 18,17.904224 | |
| 19,17.939398 | |
| 20,18.470072 | |
| 21,18.749342 | |
| 22,19.476477 | |
| 23,19.05039 | |
| 24,18.664904 | |
| 25,19.00132 | |
| 26,18.773397 | |
| 27,19.017557 | |
| 28,18.398045 | |
| 29,18.941147 | |
| 30,18.731527 | |