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/ATCSLGF/forecast_next_30.csv from StockCast/seperate: direct link, hf CLI and curl.
- Browser
- Download file 392 Bytes
-
https://huggingface.co/StockCast/seperate/resolve/main/models/ATCSLGF/forecast_next_30.csv
- Command line
-
hf download hf://StockCast/seperate/models/ATCSLGF/forecast_next_30.csv
-
curl -L -o forecast_next_30.csv https://huggingface.co/StockCast/seperate/resolve/main/models/ATCSLGF/forecast_next_30.csv
392 Bytes
| step_ahead,prediction | |
| 1,7.6846423 | |
| 2,7.597798 | |
| 3,7.6503296 | |
| 4,7.6609707 | |
| 5,7.655924 | |
| 6,7.6623087 | |
| 7,7.797031 | |
| 8,7.729214 | |
| 9,7.7661734 | |
| 10,7.782213 | |
| 11,7.786061 | |
| 12,7.7176914 | |
| 13,7.8066697 | |
| 14,7.7712464 | |
| 15,7.768196 | |
| 16,7.7293744 | |
| 17,7.8382807 | |
| 18,7.709718 | |
| 19,7.844419 | |
| 20,7.7756877 | |
| 21,7.847323 | |
| 22,7.7700853 | |
| 23,7.8642836 | |
| 24,7.8782916 | |
| 25,7.9351096 | |
| 26,7.882972 | |
| 27,7.8378916 | |
| 28,7.9568777 | |
| 29,7.8655815 | |
| 30,7.9472985 | |