How to use pt-mteb/average_pt_nilc_word2vec_skip_s1000 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("pt-mteb/average_pt_nilc_word2vec_skip_s1000") 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]
