How to use ricardoz/BERTugues-base-portuguese-cased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="ricardoz/BERTugues-base-portuguese-cased")
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("ricardoz/BERTugues-base-portuguese-cased") model = AutoModelForPreTraining.from_pretrained("ricardoz/BERTugues-base-portuguese-cased", device_map="auto")
How to use ricardoz/BERTugues-base-portuguese-cased with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("ricardoz/BERTugues-base-portuguese-cased") 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]
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