Instructions to use bd04/BD_HAR_25 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use bd04/BD_HAR_25 with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("bd04/BD_HAR_25", "sklearn_model.joblib") ) # only load pickle files from sources you trust # read more about it here https://skops.readthedocs.io/en/stable/persistence.html - Notebooks
- Google Colab
- Kaggle
Download __pycache__/preprocessing.cpython-311.pyc from bd04/BD_HAR_25: direct link, hf CLI and curl.
- Browser
- Download file 829 Bytes
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https://huggingface.co/bd04/BD_HAR_25/resolve/main/__pycache__/preprocessing.cpython-311.pyc
- Command line
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hf download hf://bd04/BD_HAR_25/__pycache__/preprocessing.cpython-311.pyc
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curl -L -o preprocessing.cpython-311.pyc https://huggingface.co/bd04/BD_HAR_25/resolve/main/__pycache__/preprocessing.cpython-311.pyc
829 Bytes
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