Instructions to use Amusa/private1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use Amusa/private1 with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("Amusa/private1", "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
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Download README.md from Amusa/private1: direct link, hf CLI and curl.
- Browser
- Download file 144 Bytes
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https://huggingface.co/Amusa/private1/resolve/main/README.md
- Command line
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hf download hf://Amusa/private1/README.md
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curl -L -o README.md https://huggingface.co/Amusa/private1/resolve/main/README.md
144 Bytes
metadata
license: openrail
library_name: sklearn
inference: true
language:
- en
metrics:
- accuracy
- precision
pipeline_tag: text-classification