How to use Aju360/ats-mpnet with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Aju360/ats-mpnet") sentences = [ "Healthcare Analyst with 8 years of experience. Skilled in Healthcare Data, SQL, Reporting, Analytics. Delivered projects and collaborated across teams.", "Data Scientist position. Required skills include Python, Machine Learning, B2B Sales, CRM. Looking for a candidate with strong communication and execution skills.", "Sales Manager position. Required skills include B2B Sales, CRM, Negotiation, Leadership. Looking for a candidate with strong communication and execution skills.", "DevOps Engineer position. Required skills include AWS, Kubernetes, Docker, CI/CD. Looking for a candidate with strong communication and execution skills." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
The community tab is the place to discuss and collaborate with the HF community!
