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KR-patent-deberta-large

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@@ -14,11 +14,11 @@ license: apache-2.0
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  patent_abstract = '''λ³Έ 발λͺ…은 νŠΉν—ˆ 검색 μ‹œμŠ€ν…œ 및 검색 방법에 κ΄€ν•œ κ²ƒμœΌλ‘œ, 보닀 μžμ„Έν•˜κ²ŒλŠ” μž…λ ₯ν•œ κ²€μƒ‰μ–΄μ˜ λ™μ˜μ–΄λ₯Ό 제곡, 검색어λ₯Ό μžλ™μœΌλ‘œ λ²ˆμ—­ν•˜μ—¬ ꡭ가에 상관없이 검색을 κ°€λŠ₯토둝 ν•˜κ±°λ‚˜ λŒ€λΆ„λ₯˜, 쀑뢄λ₯˜, μ†ŒλΆ„λ₯˜ λ“± λΆ„λ₯˜ν•œ 검색어λ₯Ό μ‘°ν•©ν•˜μ—¬ 검색을 ν–‰ν•¨μœΌλ‘œμ¨, 효율적인 μ„ ν–‰κΈ°μˆ μ„ 검색할 수 μžˆλ„λ‘ ν•˜λŠ” νŠΉν—ˆ 검색 μ‹œμŠ€ν…œ 및 검색 방법에 κ΄€ν•œ 것이닀.
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  νŠΉν—ˆ 검색, μœ μ‚¬λ„, ν‚€μ›Œλ“œ μΆ”μΆœ, 검색식 '''
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- tokenizer = AutoTokenizer.from_pretrained("axiomlabs/KR-patent-deberta-large")
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  encoded_inputs = tokenizer(patent_abstract, max_length=512, truncation=True, padding="max_length", return_tensors="pt")
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- model = AutoModel.from_pretrained("axiomlabs/KR-patent-deberta-large")
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  model.eval()
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  patent_abstract = '''λ³Έ 발λͺ…은 νŠΉν—ˆ 검색 μ‹œμŠ€ν…œ 및 검색 방법에 κ΄€ν•œ κ²ƒμœΌλ‘œ, 보닀 μžμ„Έν•˜κ²ŒλŠ” μž…λ ₯ν•œ κ²€μƒ‰μ–΄μ˜ λ™μ˜μ–΄λ₯Ό 제곡, 검색어λ₯Ό μžλ™μœΌλ‘œ λ²ˆμ—­ν•˜μ—¬ ꡭ가에 상관없이 검색을 κ°€λŠ₯토둝 ν•˜κ±°λ‚˜ λŒ€λΆ„λ₯˜, 쀑뢄λ₯˜, μ†ŒλΆ„λ₯˜ λ“± λΆ„λ₯˜ν•œ 검색어λ₯Ό μ‘°ν•©ν•˜μ—¬ 검색을 ν–‰ν•¨μœΌλ‘œμ¨, 효율적인 μ„ ν–‰κΈ°μˆ μ„ 검색할 수 μžˆλ„λ‘ ν•˜λŠ” νŠΉν—ˆ 검색 μ‹œμŠ€ν…œ 및 검색 방법에 κ΄€ν•œ 것이닀.
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  νŠΉν—ˆ 검색, μœ μ‚¬λ„, ν‚€μ›Œλ“œ μΆ”μΆœ, 검색식 '''
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+ tokenizer = AutoTokenizer.from_pretrained("LDKSolutions/KR-patent-deberta-large")
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  encoded_inputs = tokenizer(patent_abstract, max_length=512, truncation=True, padding="max_length", return_tensors="pt")
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+ model = AutoModel.from_pretrained("LDKSolutions/KR-patent-deberta-large")
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  model.eval()
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