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/AIL/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/AIL/forecast_next_15.csv
- Command line
-
hf download hf://StockCast/seperate/models/AIL/forecast_next_15.csv
-
curl -L -o forecast_next_15.csv https://huggingface.co/StockCast/seperate/resolve/main/models/AIL/forecast_next_15.csv
204 Bytes
| step_ahead,prediction | |
| 1,46.91415 | |
| 2,47.180965 | |
| 3,46.934273 | |
| 4,46.826473 | |
| 5,46.239574 | |
| 6,46.983448 | |
| 7,46.83138 | |
| 8,46.626404 | |
| 9,46.657814 | |
| 10,46.77879 | |
| 11,46.186565 | |
| 12,46.36103 | |
| 13,46.603317 | |
| 14,46.060467 | |
| 15,45.891586 | |