How to use PaDaS-Lab/xlm-roberta-base-msmarco with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("PaDaS-Lab/xlm-roberta-base-msmarco") sentences = [ "how to get rid of an iron mark", "Quick Answer. A good remedy for removing shiny iron scorch marks from fabric is to use hydrogen peroxide with ammonia. Other options for removing shiny scorch marks include laundry detergent, bleach or vinegar, but it depends on how quickly the scorch is remedied. Keep Learning.", "Largely due to declining sales, in 2006, Tommy Hilfiger sold his company for $1.6 billion, or $16.80 a share, to Apax Partners, a private investment company. In March 2010, Phillips-Van Heusen, owner of Calvin Klein, bought the Tommy Hilfiger Corporation for $3 billion.", "You need to heat continuous until it turns to a paste. Use this simple mixture by rubbing it right onto the soleplate. Now, make sure that the iron is unplugged before cleaning it. After rubbing the mixture, with the help of a nice, clean cloth wipe the unsightly scorch marks off your iron. 5 people found this useful." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
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