| Commit message (Collapse) | Author | Age | Files | Lines | |
|---|---|---|---|---|---|
| * | fix: update version number to 0.1.10 in pyproject.tomlv0.1.10 |   HsiangNianian | 2026-01-06 | 1 | -1/+1 |
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| * | fix: update version number to 0.1.9 in pyproject.tomlv0.1.9 | HsiangNianian | 2026-01-05 | 1 | -1/+1 |
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| * | fix: update version number to 0.1.8 in pyproject.tomlv0.1.8 | HsiangNianian | 2026-01-05 | 1 | -1/+1 |
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| * | feat: bump version to 0.1.7 for base-model-trpgner releasev0.1.7 | HsiangNianian | 2026-01-05 | 1 | -1/+1 |
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| * | feat: add log processing and LLM annotation functionality | HsiangNianian | 2026-01-04 | 1 | -0/+3 |
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| * | fix: update publish workflow to use uv for installing twine and publishing ↵ | HsiangNianian | 2025-12-31 | 1 | -0/+3 |
| | | | | | to TestPyPI | ||||
| * | fix: update license format in pyproject.toml | HsiangNianian | 2025-12-31 | 1 | -3/+1 |
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| * | fix: replace COPYING file with LICENSE file in project structure | HsiangNianian | 2025-12-31 | 1 | -1/+1 |
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| * | fix: update license format in pyproject.toml | HsiangNianian | 2025-12-31 | 1 | -1/+2 |
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| * | fix: add license-files entry in wheel build target | HsiangNianian | 2025-12-31 | 1 | -0/+1 |
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| * | feat: Bump version to 0.1.6 in pyproject.tomlv0.1.6 | HsiangNianian | 2025-12-30 | 1 | -1/+1 |
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| * | feat: Update Python version requirement and add onnxscript dependency | HsiangNianian | 2025-12-30 | 1 | -2/+7 |
| | | | | | | | - 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. | ||||
| * | feat: Bump version to 0.1.5 in pyproject.tomlv0.1.5 | HsiangNianian | 2025-12-30 | 1 | -1/+1 |
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| * | feat: Bump version to 0.1.4 in pyproject.tomlv0.1.4 | HsiangNianian | 2025-12-30 | 1 | -1/+1 |
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| * | feat: Bump version to 0.1.3 in pyproject.toml and __init__.pyv0.1.3 | HsiangNianian | 2025-12-30 | 1 | -1/+1 |
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| * | refactor: Remove commented line about model file download in pyproject.toml | HsiangNianian | 2025-12-30 | 1 | -1/+0 |
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| * | refactor: Update model download functionality and improve inference module ↵ | HsiangNianian | 2025-12-30 | 1 | -14/+3 |
| | | | | | to support automatic model retrieval from GitHub releases | ||||
| * | feat: Bump version to 0.1.2 in pyproject.tomlv0.1.2 | HsiangNianian | 2025-12-30 | 1 | -1/+1 |
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| * | refactor: Refactor TRPG NER model SDK: restructure codebase into ↵ | HsiangNianian | 2025-12-30 | 1 | -33/+44 |
| | | | | | 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 commentsv0.1.1 | HsiangNianian | 2025-12-30 | 1 | -2/+2 |
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| * | feat: Refactor and enhance TRPG NER model SDK | HsiangNianian | 2025-12-30 | 1 | -10/+106 |
| | | | | | | | | | | | | - 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 ↵ | HsiangNianian | 2025-12-30 | 1 | -0/+5 |
| | | | | | | | | | | | | 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 maintainability | HsiangNianian | 2025-12-29 | 1 | -0/+14 |
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index : base-model | |
| Base Model (GitHub mirror) | HydroRoll-Team |
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path: root/pyproject.toml