How to use nikatonika/chatbot_sentence-transformer with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("nikatonika/chatbot_sentence-transformer") sentences = [ "Its personal! [SEP] I put you on uppers and you still yawned. Means its a symptom, of being a big fat liar. Yawning is a side effect of some antidepressants, apparently the ones youre on. Im not on antidepressants Im on SPEEEEEED! Well that means its a symptom of a cerebral tumour. You got six weeks to live. Mr. Welladjusted is as messed up as the rest of us. Whwhy would you keep that a secret? Are you ashamed of recognising how pathetic your life is? Its not a secret. House itsits... its personal! How long has it been personal? Yawnings recent so! either you just started or you changed prescription.", "Yawnings recent so! either you just started or you changed prescription.", "The High Sparrow has hundreds of Faith Militant surrounding him. Ser Gregor will can’t face them all. And he won’t have to. He’ll only have to face one.", "Whoa, whoa, whoa! Hey! Whoa!" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
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