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/APOLOISPAT/forecast_next_15.csv from StockCast/seperate: direct link, hf CLI and curl.
- Browser
- Download file 203 Bytes
-
https://huggingface.co/StockCast/seperate/resolve/main/models/APOLOISPAT/forecast_next_15.csv
- Command line
-
hf download hf://StockCast/seperate/models/APOLOISPAT/forecast_next_15.csv
-
curl -L -o forecast_next_15.csv https://huggingface.co/StockCast/seperate/resolve/main/models/APOLOISPAT/forecast_next_15.csv
203 Bytes
| step_ahead,prediction | |
| 1,3.8092134 | |
| 2,3.5880337 | |
| 3,3.787427 | |
| 4,3.8792682 | |
| 5,3.677519 | |
| 6,4.0439653 | |
| 7,3.6842587 | |
| 8,3.628411 | |
| 9,3.5824578 | |
| 10,3.7273757 | |
| 11,3.565344 | |
| 12,3.6071599 | |
| 13,3.7129147 | |
| 14,3.485011 | |
| 15,3.7301064 | |