base-model - Base Model (GitHub mirror)

	Commit message (Collapse)	Author	Age	Files	Lines
*	docs: update annotation guidelines to include punctuation in labeled textHEAD main	HsiangNianian	2026-01-06	1	-0/+1
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*	feat: enhance log processing with multiple output versions and test set ↵	HsiangNianian	2026-01-06	2	-40/+238
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*	feat: improve code formatting and readability in conll_to_dataset.py	HsiangNianian	2026-01-05	1	-71/+71
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*	feat: enhance log annotation process with improved concurrency and detailed ↵	HsiangNianian	2026-01-05	1	-45/+117
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*	feat: add log processing and LLM annotation functionality	HsiangNianian	2026-01-04	2	-0/+449
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*	refactor: Refactor TRPG NER model SDK: restructure codebase into ↵	HsiangNianian	2025-12-30	1	-1/+2
\| \| \| \|	base_model_trpgner package, implement training and inference modules, and add model download functionality. Remove legacy training and utils modules. Enhance documentation and examples for better usability.
*	feat: Refactor and enhance TRPG NER model SDK	HsiangNianian	2025-12-30	2	-0/+318
	- 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.