How to use sayed0am/gte-multilingual-base-m2v-768 with Model2Vec:
from model2vec import StaticModel model = StaticModel.from_pretrained("sayed0am/gte-multilingual-base-m2v-768")
How to use sayed0am/gte-multilingual-base-m2v-768 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("sayed0am/gte-multilingual-base-m2v-768") 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]
