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_30.csv from StockCast/seperate: direct link, hf CLI and curl.
- Browser
- Download file 394 Bytes
-
https://huggingface.co/StockCast/seperate/resolve/main/models/ACI/forecast_next_30.csv
- Command line
-
hf download hf://StockCast/seperate/models/ACI/forecast_next_30.csv
-
curl -L -o forecast_next_30.csv https://huggingface.co/StockCast/seperate/resolve/main/models/ACI/forecast_next_30.csv
394 Bytes
| step_ahead,prediction | |
| 1,193.37704 | |
| 2,194.1639 | |
| 3,194.26044 | |
| 4,194.42755 | |
| 5,194.62025 | |
| 6,195.29349 | |
| 7,193.96729 | |
| 8,193.83171 | |
| 9,194.37491 | |
| 10,193.4056 | |
| 11,194.75023 | |
| 12,194.04228 | |
| 13,194.38402 | |
| 14,194.159 | |
| 15,195.46806 | |
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| 17,194.84224 | |
| 18,194.55322 | |
| 19,193.17873 | |
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| 29,194.04996 | |
| 30,193.26553 | |