How to use Alexhuou/embedder_model_STxmmluV3 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Alexhuou/embedder_model_STxmmluV3") sentences = [ "Suppose there is a correlation of r = 0.9 between number of hours per day students study and GPAs. Which of the following is a reasonable conclusion?", "Ulcerative Colitis\n", "Given that the sample has a standard deviation of zero, which of the following is a true statement?", "Which of the following items is not subject to the application of intraperiod income tax allocation?" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
