How to use NGA-KR/ko-embed-midm with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("NGA-KR/ko-embed-midm") 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]
https://huggingface.co/NGA-KR/ko-embed-midm/resolve/main/tokenizer.json
hf download hf://NGA-KR/ko-embed-midm/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/NGA-KR/ko-embed-midm/resolve/main/tokenizer.json
