How to use rufimelo/Legal-BERTimbau-sts-large with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("rufimelo/Legal-BERTimbau-sts-large") sentences = [ "O advogado apresentou as provas ao juíz.", "O juíz leu as provas.", "O juíz leu o recurso.", "O juíz atirou uma pedra." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
How to use rufimelo/Legal-BERTimbau-sts-large with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("rufimelo/Legal-BERTimbau-sts-large") model = AutoModel.from_pretrained("rufimelo/Legal-BERTimbau-sts-large", device_map="auto")
