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* feat: Bump version to 0.1.6 in pyproject.tomlv0.1.6HsiangNianian2025-12-301-1/+1
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* refactor: Refactor code structure for improved readability and maintainabilityHsiangNianian2025-12-309-13/+42543
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* feat: Update Python version requirement and add onnxscript dependencyHsiangNianian2025-12-3035-128482/+21
| | | | | | - Changed the required Python version from >=3.12 to >=3.10 in pyproject.toml. - Reformatted the dependencies section for better readability. - Added "onnxscript>=0.5.7" to the train optional dependencies.
* docs: update CHANGELOG.md for v0.1.5 [skip ci]HsiangNianian2025-12-301-0/+11
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* feat: Bump version to 0.1.5 in pyproject.tomlv0.1.5HsiangNianian2025-12-301-1/+1
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* feat: Refine model packaging process to include only necessary inference filesHsiangNianian2025-12-301-2/+8
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* docs: update CHANGELOG.md for v0.1.4 [skip ci]HsiangNianian2025-12-301-0/+15
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* fix: Simplify artifact upload paths in GitHub release workflowHsiangNianian2025-12-301-4/+2
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* feat: Add debug step for artifact structure and fix model zip path in releaseHsiangNianian2025-12-301-2/+7
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* feat: Bump version to 0.1.4 in pyproject.tomlv0.1.4HsiangNianian2025-12-301-1/+1
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* refactor: Clean up publish workflow by removing Test PyPI steps and ↵HsiangNianian2025-12-302-127/+24
| | | | improving artifact packaging
* feat: Enhance model download functionality to support zip file retrieval and ↵HsiangNianian2025-12-302-30/+88
| | | | extraction
* feat: Bump version to 0.1.3 in pyproject.toml and __init__.pyv0.1.3HsiangNianian2025-12-302-2/+2
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* refactor: Remove commented line about model file download in pyproject.tomlHsiangNianian2025-12-301-1/+0
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* refactor: Update model download functionality and improve inference module ↵HsiangNianian2025-12-307-108/+324
| | | | to support automatic model retrieval from GitHub releases
* refactor: Refactor code structure for improved readability and maintainabilityHsiangNianian2025-12-3034-3/+128479
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* fix: Update command to check distribution in publish workflowHsiangNianian2025-12-301-1/+1
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* feat: Bump version to 0.1.2 in pyproject.tomlv0.1.2HsiangNianian2025-12-301-1/+1
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* refactor: Refactor TRPG NER model SDK: restructure codebase into ↵HsiangNianian2025-12-308-64/+130
| | | | 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: Bump version to 0.1.1 and clean up shared data commentsv0.1.1HsiangNianian2025-12-301-2/+2
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* feat: Refactor and enhance TRPG NER model SDKHsiangNianian2025-12-3010-10/+1104
| | | | | | | | | | | - 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.
* feat: Implement TRPG NER training and inference script with robust model ↵HsiangNianian2025-12-308-6/+1502
| | | | | | | | | | | path detection and enhanced timestamp/speaker handling - Added main training and inference logic in main.py, including CoNLL parsing, tokenization, and model training. - Introduced TRPGParser class for inference with entity aggregation and special handling for timestamps and speakers. - Developed utility functions for converting word-level CoNLL to char-level and saving datasets in various formats. - Added ONNX export functionality for the trained model. - Created a comprehensive requirements.txt and updated pyproject.toml with necessary dependencies. - Implemented tests for ONNX inference to validate model outputs.
* refactor: Refactor code structure for improved readability and maintainabilityHsiangNianian2025-12-293-0/+22
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* chore(docs): Create COPYING for AFL3简律纯2024-09-231-0/+172
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* chore(docs): Delete GPL3 LICENSE简律纯2024-09-231-674/+0
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* Initial commit简律纯2024-02-203-0/+836
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