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/ALIF/forecast_next_15.csv from StockCast/seperate: direct link, hf CLI and curl.
- Browser
- Download file 202 Bytes
-
https://huggingface.co/StockCast/seperate/resolve/main/models/ALIF/forecast_next_15.csv
- Command line
-
hf download hf://StockCast/seperate/models/ALIF/forecast_next_15.csv
-
curl -L -o forecast_next_15.csv https://huggingface.co/StockCast/seperate/resolve/main/models/ALIF/forecast_next_15.csv
202 Bytes
| step_ahead,prediction | |
| 1,5.5473614 | |
| 2,5.9583697 | |
| 3,6.220007 | |
| 4,6.047419 | |
| 5,5.899762 | |
| 6,6.8080926 | |
| 7,6.35478 | |
| 8,5.6248198 | |
| 9,5.8562307 | |
| 10,6.8390956 | |
| 11,6.3113623 | |
| 12,5.9782057 | |
| 13,6.3302608 | |
| 14,6.8484073 | |
| 15,7.481797 | |