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/ARAMITCEM/forecast_next_30.csv from StockCast/seperate: direct link, hf CLI and curl.
- Browser
- Download file 400 Bytes
-
https://huggingface.co/StockCast/seperate/resolve/main/models/ARAMITCEM/forecast_next_30.csv
- Command line
-
hf download hf://StockCast/seperate/models/ARAMITCEM/forecast_next_30.csv
-
curl -L -o forecast_next_30.csv https://huggingface.co/StockCast/seperate/resolve/main/models/ARAMITCEM/forecast_next_30.csv
400 Bytes
| step_ahead,prediction | |
| 1,13.827094 | |
| 2,13.891909 | |
| 3,13.886552 | |
| 4,14.026773 | |
| 5,13.968067 | |
| 6,13.976469 | |
| 7,14.230639 | |
| 8,14.164423 | |
| 9,14.276048 | |
| 10,14.470666 | |
| 11,14.191288 | |
| 12,14.343904 | |
| 13,14.346779 | |
| 14,14.516015 | |
| 15,14.56979 | |
| 16,14.816321 | |
| 17,14.649986 | |
| 18,14.430013 | |
| 19,14.724928 | |
| 20,14.7413225 | |
| 21,14.83122 | |
| 22,14.814157 | |
| 23,14.726936 | |
| 24,14.629625 | |
| 25,14.844876 | |
| 26,14.725609 | |
| 27,14.914302 | |
| 28,15.37906 | |
| 29,15.069332 | |
| 30,15.08204 | |