How to use codenamicsDBX/bge-m3-distill with Model2Vec:
from model2vec import StaticModel model = StaticModel.from_pretrained("codenamicsDBX/bge-m3-distill")
How to use codenamicsDBX/bge-m3-distill with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("codenamicsDBX/bge-m3-distill") 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]
