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/ACHIASF/forecast_next_30.csv from StockCast/seperate: direct link, hf CLI and curl.
- Browser
- Download file 388 Bytes
-
https://huggingface.co/StockCast/seperate/resolve/main/models/ACHIASF/forecast_next_30.csv
- Command line
-
hf download hf://StockCast/seperate/models/ACHIASF/forecast_next_30.csv
-
curl -L -o forecast_next_30.csv https://huggingface.co/StockCast/seperate/resolve/main/models/ACHIASF/forecast_next_30.csv
388 Bytes
| step_ahead,prediction | |
| 1,34.73424 | |
| 2,33.00121 | |
| 3,31.244968 | |
| 4,35.962894 | |
| 5,35.9067 | |
| 6,35.70181 | |
| 7,36.74315 | |
| 8,34.947964 | |
| 9,35.189644 | |
| 10,32.562164 | |
| 11,34.771606 | |
| 12,37.19256 | |
| 13,36.480656 | |
| 14,33.33564 | |
| 15,35.453712 | |
| 16,35.477814 | |
| 17,35.848213 | |
| 18,33.771236 | |
| 19,33.971687 | |
| 20,32.750412 | |
| 21,34.675423 | |
| 22,35.85169 | |
| 23,34.85919 | |
| 24,36.86056 | |
| 25,35.52706 | |
| 26,37.5323 | |
| 27,35.53051 | |
| 28,34.473095 | |
| 29,36.649868 | |
| 30,34.950794 | |