Instructions to use krystv/nomen-ai with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use krystv/nomen-ai with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
| """Print the canonical Nomen-AI training configuration.""" | |
| from pathlib import Path | |
| import yaml | |
| def main(): | |
| cfg_path = Path(__file__).resolve().parents[1] / 'train_config.yaml' | |
| with cfg_path.open() as f: | |
| cfg = yaml.safe_load(f) | |
| print('Project:', cfg['project']) | |
| print('Base model:', cfg['base_model']) | |
| print('SFT dataset:', cfg['artifacts']['sft_dataset']) | |
| print('DPO dataset:', cfg['artifacts']['dpo_dataset']) | |
| print('SFT output:', cfg['artifacts']['sft_adapter']) | |
| print('DPO output:', cfg['artifacts']['dpo_adapter']) | |
| print('SFT effective batch:', cfg['sft']['effective_batch_size']) | |
| print('DPO effective batch:', cfg['dpo']['effective_batch_size']) | |
| print('Implemented roots:', cfg['controls']['implemented_roots']) | |
| if __name__ == '__main__': | |
| main() | |