How to use Kao1412/Classification_Address with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Kao1412/Classification_Address") sentences = [ "64 đường tố hữu đông anh hải phòng", "64 đường tố hữu đông anh hải phòng", "80 mễ trì phú nhuận tp cà mau", "81 phùng khồang phường quận 6 đà nẵng" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
https://huggingface.co/Kao1412/Classification_Address/resolve/main/bpe.codes
hf download hf://Kao1412/Classification_Address/bpe.codes
curl -L -o bpe.codes https://huggingface.co/Kao1412/Classification_Address/resolve/main/bpe.codes
