Download quickstart.py from WangKaiLin/CleanOwl-AI-Slop-Detector: direct link, hf CLI and curl.
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https://huggingface.co/WangKaiLin/CleanOwl-AI-Slop-Detector/resolve/refs%2Fpr%2F1/quickstart.py
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hf download hf://WangKaiLin/CleanOwl-AI-Slop-Detector@refs/pr/1/quickstart.py
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curl -L -o quickstart.py https://huggingface.co/WangKaiLin/CleanOwl-AI-Slop-Detector/resolve/refs%2Fpr%2F1/quickstart.py
763 Bytes
| from engine import PipeOwlEngine, PipeOwlConfig | |
| import time | |
| #=== timetest === | |
| """ | |
| t0 = time.perf_counter() | |
| """ | |
| #================ | |
| engine = PipeOwlEngine(PipeOwlConfig()) | |
| #=== timetest === | |
| """ | |
| t1 = time.perf_counter() | |
| print(f"\n🚀 Cold start time: {(t1 - t0)*1000:.2f} ms\n") | |
| #"" | |
| for _ in range(20): | |
| t0 = time.perf_counter() | |
| engine.pipeowl("雪鴞") | |
| print((time.perf_counter() - t0) * 1000, "ms") | |
| """ | |
| #================ | |
| while True: | |
| print() | |
| query = input("請輸入句子: ") | |
| out = engine.pipeowl(query, top_k=5) | |
| print("\nTop-K Tokens:") | |
| for text, score in out["retrieved"]: | |
| print(f"{score:.3f} | {text}") | |
| # print("\nDecoded:") | |
| # print(out["decoded"]) | |
| print() |