Sentence Similarity
sentence-transformers
Safetensors
Model2Vec
Korean
feature-extraction
static-embedding
korean
matryoshka
Instructions to use kekeappa/kor-static-embedding-256 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use kekeappa/kor-static-embedding-256 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("kekeappa/kor-static-embedding-256") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - Model2Vec
How to use kekeappa/kor-static-embedding-256 with Model2Vec:
from model2vec import StaticModel model = StaticModel.from_pretrained("kekeappa/kor-static-embedding-256") - Notebooks
- Google Colab
- Kaggle
File size: 156 Bytes
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