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/AFTABAUTO/forecast_next_15.csv from StockCast/seperate: direct link, hf CLI and curl.
- Browser
- Download file 204 Bytes
-
https://huggingface.co/StockCast/seperate/resolve/main/models/AFTABAUTO/forecast_next_15.csv
- Command line
-
hf download hf://StockCast/seperate/models/AFTABAUTO/forecast_next_15.csv
-
curl -L -o forecast_next_15.csv https://huggingface.co/StockCast/seperate/resolve/main/models/AFTABAUTO/forecast_next_15.csv
204 Bytes
| step_ahead,prediction | |
| 1,36.26127 | |
| 2,36.469563 | |
| 3,36.035275 | |
| 4,36.60834 | |
| 5,36.449184 | |
| 6,36.592995 | |
| 7,36.528873 | |
| 8,36.743546 | |
| 9,36.422237 | |
| 10,36.984554 | |
| 11,36.547523 | |
| 12,36.61103 | |
| 13,36.52917 | |
| 14,37.198864 | |
| 15,36.995373 | |