Instructions to use aylajadu/qa-text-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use aylajadu/qa-text-classifier with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("aylajadu/qa-text-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 qa_model.pkl from aylajadu/qa-text-classifier: direct link, hf CLI and curl.
- Browser
- Download file 1.78 kB
-
https://huggingface.co/aylajadu/qa-text-classifier/resolve/main/qa_model.pkl
- Command line
-
hf download hf://aylajadu/qa-text-classifier/qa_model.pkl
-
curl -L -o qa_model.pkl https://huggingface.co/aylajadu/qa-text-classifier/resolve/main/qa_model.pkl
1.78 kB
- Xet hash:
- 5d5f548f9cd7f6eea47ebfeb22baa4599ba6534a9c9af822b025d69aa43230d6
- Size of remote file:
- 1.78 kB
- SHA256:
- 2621841b05bab43a89da0a5c44c3e46f025fe0b8210fb4d5a0d086712a5c404f
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