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/ABB1STMF/forecast_next_30.csv from StockCast/seperate: direct link, hf CLI and curl.
- Browser
- Download file 391 Bytes
-
https://huggingface.co/StockCast/seperate/resolve/main/models/ABB1STMF/forecast_next_30.csv
- Command line
-
hf download hf://StockCast/seperate/models/ABB1STMF/forecast_next_30.csv
-
curl -L -o forecast_next_30.csv https://huggingface.co/StockCast/seperate/resolve/main/models/ABB1STMF/forecast_next_30.csv
391 Bytes
| step_ahead,prediction | |
| 1,3.8188562 | |
| 2,3.8865433 | |
| 3,3.8979878 | |
| 4,3.8787496 | |
| 5,3.9154825 | |
| 6,3.9872808 | |
| 7,3.9161239 | |
| 8,4.0079107 | |
| 9,3.9417906 | |
| 10,3.9413059 | |
| 11,4.031798 | |
| 12,4.007995 | |
| 13,4.0677915 | |
| 14,4.0311494 | |
| 15,4.09334 | |
| 16,4.050374 | |
| 17,4.1142535 | |
| 18,4.115271 | |
| 19,4.0788407 | |
| 20,4.1025047 | |
| 21,4.129096 | |
| 22,4.04702 | |
| 23,4.0612917 | |
| 24,4.2086744 | |
| 25,4.166624 | |
| 26,4.055409 | |
| 27,4.1291795 | |
| 28,4.1649766 | |
| 29,4.171321 | |
| 30,4.1811104 | |