Instructions to use opale-ai/news-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use opale-ai/news-classifier with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("opale-ai/news-classifier", "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 utils/data.py from opale-ai/news-classifier: direct link, hf CLI and curl.
- Browser
- Download file 282 Bytes
-
https://huggingface.co/opale-ai/news-classifier/resolve/main/utils/data.py
- Command line
-
hf download hf://opale-ai/news-classifier/utils/data.py
-
curl -L -o data.py https://huggingface.co/opale-ai/news-classifier/resolve/main/utils/data.py
282 Bytes
| COLUMNS = [ | |
| "url", | |
| "website", | |
| "og_type", | |
| "meta_description", | |
| "meta_title", | |
| "content", | |
| "date", | |
| "days_old", | |
| "link_count", | |
| "paragraph_count", | |
| "average_links", | |
| "text_to_html_ratio", | |
| "css_title", | |
| "is_news_article", | |
| "reason", | |
| ] | |