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/ACI/forecast_next_15.csv from StockCast/seperate: direct link, hf CLI and curl.
- Browser
- Download file 208 Bytes
-
https://huggingface.co/StockCast/seperate/resolve/main/models/ACI/forecast_next_15.csv
- Command line
-
hf download hf://StockCast/seperate/models/ACI/forecast_next_15.csv
-
curl -L -o forecast_next_15.csv https://huggingface.co/StockCast/seperate/resolve/main/models/ACI/forecast_next_15.csv
208 Bytes
| step_ahead,prediction | |
| 1,193.12892 | |
| 2,193.08664 | |
| 3,192.68254 | |
| 4,192.49283 | |
| 5,192.56262 | |
| 6,192.98106 | |
| 7,193.40575 | |
| 8,193.66045 | |
| 9,193.56544 | |
| 10,193.03615 | |
| 11,192.66776 | |
| 12,191.28426 | |
| 13,192.28467 | |
| 14,193.80705 | |
| 15,193.08606 | |