sentence-transformers 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] 
