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/ACMEPL/forecast_next_30.csv from StockCast/seperate: direct link, hf CLI and curl.
- Browser
- Download file 400 Bytes
-
https://huggingface.co/StockCast/seperate/resolve/main/models/ACMEPL/forecast_next_30.csv
- Command line
-
hf download hf://StockCast/seperate/models/ACMEPL/forecast_next_30.csv
-
curl -L -o forecast_next_30.csv https://huggingface.co/StockCast/seperate/resolve/main/models/ACMEPL/forecast_next_30.csv
400 Bytes
| step_ahead,prediction | |
| 1,12.411011 | |
| 2,11.529698 | |
| 3,13.836678 | |
| 4,10.403377 | |
| 5,12.538264 | |
| 6,9.956924 | |
| 7,13.746035 | |
| 8,11.463754 | |
| 9,12.997561 | |
| 10,12.596876 | |
| 11,13.4675 | |
| 12,14.097756 | |
| 13,11.684839 | |
| 14,11.292703 | |
| 15,12.923399 | |
| 16,12.690875 | |
| 17,12.129057 | |
| 18,9.959795 | |
| 19,13.512863 | |
| 20,13.198801 | |
| 21,11.647694 | |
| 22,14.034903 | |
| 23,13.968969 | |
| 24,11.970653 | |
| 25,11.735062 | |
| 26,11.506051 | |
| 27,12.085848 | |
| 28,10.9252205 | |
| 29,12.003583 | |
| 30,12.274467 | |