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| author |   HsiangNianian <i@jyunko.cn> | 2025-12-30 19:14:39 +0800 |
|---|---|---|
| committer | HsiangNianian <i@jyunko.cn> | 2025-12-30 19:14:39 +0800 |
| commit | 7ac684f1f82023c6284cd7d7efde11b8dc98c149 (patch) | |
| tree | 4ac4e9fb72a4e1e2578d9fb4e9704967b052ec15 /pyproject.toml | |
| parent | 12910f3a937633a25aa0de463a6edf756f2b8cdd (diff) | |
| download | base-model-7ac684f1f82023c6284cd7d7efde11b8dc98c149.tar.gz base-model-7ac684f1f82023c6284cd7d7efde11b8dc98c149.zip | |
feat: Implement TRPG NER training and inference script with robust model 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.
Diffstat (limited to 'pyproject.toml')
| -rw-r--r-- | pyproject.toml | 5 |
1 files changed, 5 insertions, 0 deletions
diff --git a/pyproject.toml b/pyproject.toml index f6fb85a..0e9a82b 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -5,6 +5,11 @@ description = "Add your description here" readme = "README.md" requires-python = ">=3.12" dependencies = [ + "gradio>=6.2.0", + "onnx>=1.20.0", + "onnxruntime>=1.23.2", + "onnxscript>=0.5.7", + "pynvml>=13.0.1", "torch>=2.9.1", "transformers>=4.57.3", ] |