app.py

from datasets import load_dataset
from evaluate import evaluator
from transformers import AutoModelForSequenceClassification, pipeline

data = load_dataset("huolongguo10/insecure").shuffle(seed=42).select(range(1000))
task_evaluator = evaluator("text-classification")

# 1. Pass a model name or path
eval_results = task_evaluator.compute(
    model_or_pipeline="huolongguo10/check_sec",
    data=data,
)


print(eval_results)