Sentence Similarity
sentence-transformers
Safetensors
Korean
bert
feature-extraction
Generated from Trainer
dataset_size:11668
loss:MultipleNegativesRankingLoss
text-embeddings-inference
Instructions to use kgmyh/klue_bert-base_finetuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use kgmyh/klue_bert-base_finetuning with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("kgmyh/klue_bert-base_finetuning") sentences = [ "klue-sts-v1_dev_00238", "이것은 7월 15일에 열린 주요 국가의 외무 장관들 간의 첫 번째 회담에 이은 것입니다.", "policy-rtt", "이는 지난 15일 개최된 제1차 주요국 외교장관간 협의에 뒤이은 것이다." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
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