Sentence Similarity
sentence-transformers
Safetensors
bert
feature-extraction
Generated from Trainer
dataset_size:499500
loss:MSELoss
Eval Results (legacy)
text-embeddings-inference
Instructions to use lemon-mint/KoEn-Embed-Turbo-v0.7-final with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use lemon-mint/KoEn-Embed-Turbo-v0.7-final with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("lemon-mint/KoEn-Embed-Turbo-v0.7-final") sentences = [ "query: 순드리 우탐찬다니의 대표적인 단편 소설은 무엇입니까?", "query: What works have been influenced by \"Fourth World\"?", "query: 학교 건물의 건축 스타일은 무엇입니까?", "query: Which group of people's experiences did the JERS study aim to document?" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
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