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xming521
7daa270736
Integrate suffixed encrypted storage across extraction, review, training, and inference. Add shared-password web authentication with two-hour sessions, private request logging, and an isolated profile-building pipeline. Fix encrypted dataset discovery at training entrypoints and duplicate CSV imports. Add synthetic storage, authentication, and log checks; update documentation and frontend assets.
18 lines
479 B
Python
18 lines
479 B
Python
from llamafactory.eval.evaluator import Evaluator
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from llamafactory.hparams import get_eval_args
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from weclone.train.security import model_runtime, parsed_cli_arguments
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from weclone.utils.secure_storage import is_encrypted_mode
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def main():
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if not is_encrypted_mode():
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Evaluator().eval()
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return
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with model_runtime(parsed_cli_arguments(get_eval_args), evaluation=True) as runtime:
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Evaluator(runtime).eval()
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if __name__ == "__main__":
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main()
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