How to use rufimelo/Legal-BERTimbau-large-v2-sts with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("rufimelo/Legal-BERTimbau-large-v2-sts") 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-large-v2-sts with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("rufimelo/Legal-BERTimbau-large-v2-sts") model = AutoModel.from_pretrained("rufimelo/Legal-BERTimbau-large-v2-sts")
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