How to use quyenhoang03/trained_all-roberta-large-v1 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("quyenhoang03/trained_all-roberta-large-v1") sentences = [ "load my email name", "<a data-xid=\"675\" href=\"http://www.amd.com/en-us/who-we-are/cookies\">\n View AMD's cookie policy\n </a>", "<input class=\"form-control form-control-lg input-block js-email-notice-trigger\" data-xid=\"68\" id=\"user[email]\" name=\"user[email]\" placeholder=\"you@example.com\" type=\"text\">", "<a data-xid=\"61\" href=\"https://medlineplus.gov/videosandcooltools.html\" id=\"anch_15\">\n Videos & Tools\n </a>" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
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