How to use abkimc/distilroberta-base-sentence-transformer with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("abkimc/distilroberta-base-sentence-transformer") sentences = [ "Two autopsy reports for heat related deaths that took place in July have been released.", "President Obama declares a major disaster in North Carolina", "Voters reject the leash law", "Two autopsy reports for heat related deaths released" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
