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/00DSES/forecast_next_30.csv from StockCast/seperate: direct link, hf CLI and curl.
- Browser
- Download file 399 Bytes
-
https://huggingface.co/StockCast/seperate/resolve/main/models/00DSES/forecast_next_30.csv
- Command line
-
hf download hf://StockCast/seperate/models/00DSES/forecast_next_30.csv
-
curl -L -o forecast_next_30.csv https://huggingface.co/StockCast/seperate/resolve/main/models/00DSES/forecast_next_30.csv
399 Bytes
| step_ahead,prediction | |
| 1,1174.1125 | |
| 2,1171.2933 | |
| 3,1176.5935 | |
| 4,1173.4133 | |
| 5,1174.7798 | |
| 6,1172.3597 | |
| 7,1174.4266 | |
| 8,1178.1056 | |
| 9,1175.6046 | |
| 10,1175.3835 | |
| 11,1176.2634 | |
| 12,1173.8698 | |
| 13,1172.8352 | |
| 14,1178.9498 | |
| 15,1174.6001 | |
| 16,1178.2842 | |
| 17,1170.7988 | |
| 18,1176.6866 | |
| 19,1175.171 | |
| 20,1175.272 | |
| 21,1176.5366 | |
| 22,1176.4446 | |
| 23,1173.694 | |
| 24,1176.5955 | |
| 25,1175.6511 | |
| 26,1176.4492 | |
| 27,1174.121 | |
| 28,1172.3334 | |
| 29,1176.7393 | |
| 30,1172.9503 | |