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/ADVENT/forecast_next_15.csv from StockCast/seperate: direct link, hf CLI and curl.
- Browser
- Download file 204 Bytes
-
https://huggingface.co/StockCast/seperate/resolve/main/models/ADVENT/forecast_next_15.csv
- Command line
-
hf download hf://StockCast/seperate/models/ADVENT/forecast_next_15.csv
-
curl -L -o forecast_next_15.csv https://huggingface.co/StockCast/seperate/resolve/main/models/ADVENT/forecast_next_15.csv
204 Bytes
| step_ahead,prediction | |
| 1,16.473497 | |
| 2,16.911644 | |
| 3,17.21389 | |
| 4,17.248343 | |
| 5,17.850315 | |
| 6,17.630413 | |
| 7,17.485863 | |
| 8,17.793987 | |
| 9,17.405777 | |
| 10,18.199118 | |
| 11,18.063814 | |
| 12,18.54429 | |
| 13,18.164059 | |
| 14,18.58148 | |
| 15,18.62214 | |