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/AMBEEPHA/forecast_next_30.csv from StockCast/seperate: direct link, hf CLI and curl.
- Browser
- Download file 377 Bytes
-
https://huggingface.co/StockCast/seperate/resolve/main/models/AMBEEPHA/forecast_next_30.csv
- Command line
-
hf download hf://StockCast/seperate/models/AMBEEPHA/forecast_next_30.csv
-
curl -L -o forecast_next_30.csv https://huggingface.co/StockCast/seperate/resolve/main/models/AMBEEPHA/forecast_next_30.csv
377 Bytes
| step_ahead,prediction | |
| 1,804.7475 | |
| 2,805.78326 | |
| 3,785.2329 | |
| 4,798.4451 | |
| 5,801.3662 | |
| 6,791.5637 | |
| 7,786.9471 | |
| 8,804.8934 | |
| 9,795.0936 | |
| 10,767.9659 | |
| 11,756.0901 | |
| 12,766.57227 | |
| 13,772.1539 | |
| 14,765.60925 | |
| 15,769.5222 | |
| 16,751.2011 | |
| 17,782.265 | |
| 18,752.5828 | |
| 19,743.8236 | |
| 20,771.01337 | |
| 21,758.12067 | |
| 22,701.3625 | |
| 23,745.1968 | |
| 24,733.94714 | |
| 25,743.3478 | |
| 26,737.1646 | |
| 27,725.594 | |
| 28,730.9964 | |
| 29,736.4285 | |
| 30,766.4357 | |