πŸ”Ž KURE-v1

Example code

Install Dependencies

First install the Sentence Transformers library:

pip install -U sentence-transformers

Python code

Then you can load this model and run inference.

from sentence_transformers import SentenceTransformer

# Download from the πŸ€— Hub
model = SentenceTransformer("nlpai-lab/KURE-v1")

# Run inference
sentences = [
    'ν—Œλ²•κ³Ό 법원쑰직법은 μ–΄λ–€ 방식을 톡해 기본ꢌ 보μž₯ λ“±μ˜ λ‹€μ–‘ν•œ 법적 λͺ¨μƒ‰μ„ κ°€λŠ₯ν•˜κ²Œ ν–ˆμ–΄',
    '4. μ‹œμ‚¬μ κ³Ό κ°œμ„ λ°©ν–₯ μ•žμ„œ μ‚΄νŽ΄λ³Έ 바와 같이 우리 ν—Œλ²•κ³Ό r법원쑰직 법」은 λŒ€λ²•μ› ꡬ성을 λ‹€μ–‘ν™”ν•˜μ—¬ 기본ꢌ 보μž₯κ³Ό 민주주의 확립에 μžˆμ–΄ 닀각적인 법적 λͺ¨μƒ‰μ„ κ°€λŠ₯ν•˜κ²Œ ν•˜λŠ” 것을 κ·Όλ³Έ κ·œλ²”μœΌλ‘œ ν•˜κ³  μžˆλ‹€. λ”μš±μ΄ ν•©μ˜μ²΄λ‘œμ„œμ˜ λŒ€λ²•μ› 원리λ₯Ό μ±„νƒν•˜κ³  μžˆλŠ” 것 μ—­μ‹œ κ·Έ κ΅¬μ„±μ˜ 닀양성을 μš”μ²­ν•˜λŠ” κ²ƒμœΌλ‘œ ν•΄μ„λœλ‹€. 이와 같은 κ΄€μ μ—μ„œ λ³Ό λ•Œ ν˜„μ§ 법원μž₯κΈ‰ κ³ μœ„λ²•κ΄€μ„ μ€‘μ‹¬μœΌλ‘œ λŒ€λ²•μ›μ„ κ΅¬μ„±ν•˜λŠ” 관행은 κ°œμ„ ν•  ν•„μš”κ°€ μžˆλŠ” κ²ƒμœΌλ‘œ 보인닀.',
    'μ—°λ°©ν—Œλ²•μž¬νŒμ†ŒλŠ” 2001λ…„ 1μ›” 24일 5:3의 λ‹€μˆ˜κ²¬ν•΄λ‘œ γ€Œλ²•μ›μ‘°μ§λ²•γ€ 제169μ‘° 제2문이 ν—Œλ²•μ— ν•©μΉ˜λœλ‹€λŠ” νŒκ²°μ„ λ‚΄λ ΈμŒ β—‹ 5인의 λ‹€μˆ˜ μž¬νŒκ΄€μ€ μ†Œμ†‘κ΄€κ³„μΈμ˜ 인격ꢌ 보호, κ³΅μ •ν•œ 절차의 보μž₯κ³Ό λ°©ν•΄λ°›μ§€ μ•ŠλŠ” 법과 μ§„μ‹€ 발견 등을 근거둜 ν•˜μ—¬ ν…”λ ˆλΉ„μ „ μ΄¬μ˜μ— λŒ€ν•œ μ ˆλŒ€μ μΈ κΈˆμ§€λ₯Ό ν—Œλ²•μ— ν•©μΉ˜ν•˜λŠ” κ²ƒμœΌλ‘œ λ³΄μ•˜μŒ β—‹ κ·ΈλŸ¬λ‚˜ λ‚˜λ¨Έμ§€ 3인의 μž¬νŒκ΄€μ€ ν–‰μ •λ²•μ›μ˜ μ†Œμ†‘μ ˆμ°¨λŠ” νŠΉλ³„ν•œ 인격ꢌ 보호의 이읡도 μ—†μœΌλ©°, ν…”λ ˆλΉ„μ „ 곡개주의둜 인해 법과 μ§„μ‹€ 발견의 과정이 μ–Έμ œλ‚˜ μœ„νƒœλ‘­κ²Œ λ˜λŠ” 것은 μ•„λ‹ˆλΌλ©΄μ„œ λ°˜λŒ€μ˜κ²¬μ„ μ œμ‹œν•¨ β—‹ μ™œλƒν•˜λ©΄ ν–‰μ •λ²•μ›μ˜ μ†Œμ†‘μ ˆμ°¨μ—μ„œλŠ” μ†Œμ†‘λ‹Ήμ‚¬μžκ°€ 개인적으둜 직접 심리에 μ°Έμ„ν•˜κΈ°λ³΄λ‹€λŠ” λ³€ν˜Έμ‚¬κ°€ μ°Έμ„ν•˜λŠ” κ²½μš°κ°€ 많으며, μ‹¬λ¦¬λŒ€μƒλ„ μ‚¬μ‹€λ¬Έμ œκ°€ μ•„λ‹Œ 법λ₯ λ¬Έμ œκ°€ λŒ€λΆ€λΆ„μ΄κΈ° λ•Œλ¬Έμ΄λΌλŠ” κ²ƒμž„ β–‘ ν•œνŽΈ, μ—°λ°©ν—Œλ²•μž¬νŒμ†ŒλŠ” γ€Œμ—°λ°©ν—Œλ²•μž¬νŒμ†Œλ²•γ€(Bundesverfassungsgerichtsgesetz: BVerfGG) 제17a쑰에 따라 μ œν•œμ μ΄λ‚˜λ§ˆ μž¬νŒμ— λŒ€ν•œ 방솑을 ν—ˆμš©ν•˜κ³  있음 β—‹ γ€Œμ—°λ°©ν—Œλ²•μž¬νŒμ†Œλ²•γ€ 제17μ‘°μ—μ„œ γ€Œλ²•μ›μ‘°μ§λ²•γ€ 제14절 λ‚΄μ§€ 제16절의 κ·œμ •μ„ μ€€μš©ν•˜λ„λ‘ ν•˜κ³  μžˆμ§€λ§Œ, λ…ΉμŒμ΄λ‚˜ μ΄¬μ˜μ„ ν†΅ν•œ μž¬νŒκ³΅κ°œμ™€ κ΄€λ ¨ν•˜μ—¬μ„œλŠ” γ€Œλ²•μ›μ‘°μ§λ²•γ€κ³Ό λ‹€λ₯Έ λ‚΄μš©μ„ κ·œμ •ν•˜κ³  있음',
]
embeddings = model.encode(sentences)
print(embeddings.shape)
# [3, 1024]

# Get the similarity scores for the embeddings
similarities = model.similarity(embeddings, embeddings)
print(similarities)
# Results for KURE-v1
# tensor([[1.0000, 0.6967, 0.5306],
#         [0.6967, 1.0000, 0.4427],
#         [0.5306, 0.4427, 1.0000]])
Downloads last month
10
Safetensors
Model size
568M params
Tensor type
F32
Β·
Inference Providers NEW
This model isn't deployed by any Inference Provider. πŸ™‹ Ask for provider support

Model tree for smartmind/KURE-v1

Base model

BAAI/bge-m3
Finetuned
(292)
this model