How to use masud202/ats_text_detection with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("masud202/ats_text_detection") sentences = [ "banned / controlled drugs: heroin", "This webpage mentions 'jihad' in a context related to hate / extremism.", "This webpage mentions 'no kyc loan' in a context related to unlicensed lending / loans.", "This webpage mentions 'heroin' in a context related to banned / controlled drugs." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
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