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
File size: 542 Bytes
1d2de8a | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 | """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()
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