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| author |   HsiangNianian <i@jyunko.cn> | 2025-12-30 19:54:08 +0800 |
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| committer | HsiangNianian <i@jyunko.cn> | 2025-12-30 19:54:08 +0800 |
| commit | 575114661ef9afb95df2a211e1d8498686340e6b (patch) | |
| tree | 91f1646cececb1597a9246865e89b52e059d3cfa /models | |
| parent | 7ac684f1f82023c6284cd7d7efde11b8dc98c149 (diff) | |
| download | base-model-575114661ef9afb95df2a211e1d8498686340e6b.tar.gz base-model-575114661ef9afb95df2a211e1d8498686340e6b.zip | |
feat: Refactor and enhance TRPG NER model SDK
- Removed deprecated `word_conll_to_char_conll.py` utility and integrated its functionality into the new `utils` module.
- Introduced a comprehensive GitHub Actions workflow for automated publishing to PyPI and GitHub Releases.
- Added `__init__.py` files to establish package structure for `basemodel`, `inference`, `training`, and `utils` modules.
- Implemented model downloading functionality in `download_model.py` to fetch pre-trained ONNX models.
- Developed `TRPGParser` class for ONNX-based inference, including methods for parsing TRPG logs.
- Created training utilities in `training/__init__.py` for NER model training with Hugging Face Transformers.
- Enhanced utility functions for CoNLL file parsing and dataset creation.
- Added command-line interface for converting CoNLL files to datasets with validation options.
Diffstat (limited to 'models')
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