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/AOL/forecast_next_30.csv from StockCast/seperate: direct link, hf CLI and curl.
- Browser
- Download file 396 Bytes
-
https://huggingface.co/StockCast/seperate/resolve/main/models/AOL/forecast_next_30.csv
- Command line
-
hf download hf://StockCast/seperate/models/AOL/forecast_next_30.csv
-
curl -L -o forecast_next_30.csv https://huggingface.co/StockCast/seperate/resolve/main/models/AOL/forecast_next_30.csv
396 Bytes
| step_ahead,prediction | |
| 1,19.294956 | |
| 2,19.422352 | |
| 3,20.49636 | |
| 4,20.383196 | |
| 5,20.344269 | |
| 6,19.578112 | |
| 7,20.231653 | |
| 8,19.743862 | |
| 9,19.586714 | |
| 10,19.460503 | |
| 11,19.407785 | |
| 12,20.109497 | |
| 13,20.49603 | |
| 14,19.793512 | |
| 15,20.7279 | |
| 16,20.52777 | |
| 17,20.458118 | |
| 18,19.884312 | |
| 19,20.480381 | |
| 20,21.138502 | |
| 21,19.62463 | |
| 22,20.751202 | |
| 23,21.268124 | |
| 24,19.018719 | |
| 25,20.748953 | |
| 26,19.735462 | |
| 27,19.996817 | |
| 28,19.956717 | |
| 29,20.23294 | |
| 30,21.384722 | |