How to use ligolab/DxRoberta with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("ligolab/DxRoberta") 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]
This Roberta model is trained from scratch using Masked Language Modelling task on a collection of medical reports
