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/1STPRIMFMF/forecast_next_30.csv from StockCast/seperate: direct link, hf CLI and curl.
- Browser
- Download file 401 Bytes
-
https://huggingface.co/StockCast/seperate/resolve/main/models/1STPRIMFMF/forecast_next_30.csv
- Command line
-
hf download hf://StockCast/seperate/models/1STPRIMFMF/forecast_next_30.csv
-
curl -L -o forecast_next_30.csv https://huggingface.co/StockCast/seperate/resolve/main/models/1STPRIMFMF/forecast_next_30.csv
401 Bytes
| step_ahead,prediction | |
| 1,22.951654 | |
| 2,22.909117 | |
| 3,22.88563 | |
| 4,22.947172 | |
| 5,23.027853 | |
| 6,22.685013 | |
| 7,22.607672 | |
| 8,22.904797 | |
| 9,22.620731 | |
| 10,22.774408 | |
| 11,22.786665 | |
| 12,22.823868 | |
| 13,22.515654 | |
| 14,22.663292 | |
| 15,22.491737 | |
| 16,22.469324 | |
| 17,22.404423 | |
| 18,22.518843 | |
| 19,22.661753 | |
| 20,22.413097 | |
| 21,22.119377 | |
| 22,22.284449 | |
| 23,22.308258 | |
| 24,22.054962 | |
| 25,22.023567 | |
| 26,22.167059 | |
| 27,21.957937 | |
| 28,21.855572 | |
| 29,21.988005 | |
| 30,21.83494 | |