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/ADNTEL/forecast_next_30.csv from StockCast/seperate: direct link, hf CLI and curl.
- Browser
- Download file 378 Bytes
-
https://huggingface.co/StockCast/seperate/resolve/main/models/ADNTEL/forecast_next_30.csv
- Command line
-
hf download hf://StockCast/seperate/models/ADNTEL/forecast_next_30.csv
-
curl -L -o forecast_next_30.csv https://huggingface.co/StockCast/seperate/resolve/main/models/ADNTEL/forecast_next_30.csv
378 Bytes
| step_ahead,prediction | |
| 1,74.66605 | |
| 2,74.52047 | |
| 3,74.98932 | |
| 4,75.90384 | |
| 5,74.04426 | |
| 6,76.08951 | |
| 7,75.25537 | |
| 8,75.56212 | |
| 9,75.53092 | |
| 10,75.73736 | |
| 11,76.732544 | |
| 12,77.54913 | |
| 13,75.75983 | |
| 14,75.84401 | |
| 15,76.4484 | |
| 16,77.54494 | |
| 17,76.343346 | |
| 18,75.75101 | |
| 19,72.35447 | |
| 20,76.156685 | |
| 21,77.20546 | |
| 22,75.685234 | |
| 23,75.744736 | |
| 24,76.64946 | |
| 25,75.44786 | |
| 26,75.21721 | |
| 27,78.12521 | |
| 28,78.20856 | |
| 29,79.119545 | |
| 30,77.71663 | |