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 debug.py from opale-ai/news-classifier: direct link, hf CLI and curl.
- Browser
- Download file 222 Bytes
-
https://huggingface.co/opale-ai/news-classifier/resolve/main/debug.py
- Command line
-
hf download hf://opale-ai/news-classifier/debug.py
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curl -L -o debug.py https://huggingface.co/opale-ai/news-classifier/resolve/main/debug.py
222 Bytes
| import polars as pl | |
| from utils.paths import DATA | |
| def main() -> None: | |
| for name in ["train", "eval"]: | |
| df = pl.read_parquet(DATA / (name + ".parquet")) | |
| print(df) | |
| if __name__ == "__main__": | |
| main() | |