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_15.csv from StockCast/seperate: direct link, hf CLI and curl.
- Browser
- Download file 203 Bytes
-
https://huggingface.co/StockCast/seperate/resolve/main/models/AOL/forecast_next_15.csv
- Command line
-
hf download hf://StockCast/seperate/models/AOL/forecast_next_15.csv
-
curl -L -o forecast_next_15.csv https://huggingface.co/StockCast/seperate/resolve/main/models/AOL/forecast_next_15.csv
203 Bytes
| step_ahead,prediction | |
| 1,18.947691 | |
| 2,19.91363 | |
| 3,18.55595 | |
| 4,19.429394 | |
| 5,19.63655 | |
| 6,19.341515 | |
| 7,19.091558 | |
| 8,19.29682 | |
| 9,19.722162 | |
| 10,19.07143 | |
| 11,18.562323 | |
| 12,19.287199 | |
| 13,19.578516 | |
| 14,19.735733 | |
| 15,18.656952 | |