How to use edubm/vis-sim-triplets-mpnet with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("edubm/vis-sim-triplets-mpnet") sentences = [ "What is the advice given about the use of color in dataviz?", "Don't use color if they communicate nothing.", "Four problems with Pie Charts are detailed in a guide by iCharts.net.", "Always use bright colors for highlighting important data." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
