Instructions to use undertheseanlp/sen-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use undertheseanlp/sen-1 with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("undertheseanlp/sen-1", "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
Commit History
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Refactor training to Hydra config and use underthesea imports
- Replace Click CLI with Hydra config system for flexible training - Add config files for all training tasks (vntc, bank, sentiment_general, sentiment_bank) - Change imports from underthesea_core to underthesea throughout - Move preprocessing to Rust TextPreprocessor (built into model binary) - Delete extends/ directory (code now in underthesea_core v3.2.0) - Add outputs/ to .gitignore for Hydra run outputs Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>903cdb2