How to use trbeers/distilbert-base-uncased-sts with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("trbeers/distilbert-base-uncased-sts") sentences = [ "Proficient in chemical or plasma cleaning methods.", "Skilled in circuit board assembly", "Created custom reports in Workday for HR metrics", "Developed a website using HTML and CSS" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
