Text Classification
PEFT
lora
document-question-answering
structured-decisions
calibration
synthetic-evaluation
Instructions to use botp/Solomon with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use botp/Solomon with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
| """Score a frozen panel for CUDA parity without fitting temperatures.""" | |
| import argparse | |
| from solomon_mlx import Solomon | |
| from solomon_mlx.evaluation import score_panel | |
| def main(): | |
| parser = argparse.ArgumentParser(description=__doc__) | |
| parser.add_argument("--model", default="models/quality") | |
| parser.add_argument("--panel", required=True) | |
| parser.add_argument("--output", required=True) | |
| args = parser.parse_args() | |
| score_panel(Solomon.load(args.model), args.panel, args.output) | |
| if __name__ == "__main__": | |
| main() | |