sentence-transformers How to use shankerram3/resumator with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("shankerram3/resumator")
sentences = [
"Name: Jane Doe\nTitles: Software Developer, Software Engineer\nSkills: Python, React, PostgreSQL, TypeScript\nExperience: 4 years\nResume: Full-stack engineer with 4 years building web applications using Python and React. Experience with PostgreSQL, REST APIs, and cloud deployment.",
"Title: Senior Software Engineer\nCompany: TechCorp\nDescription: Looking for full-stack engineer with Python and React experience. Must have 3+ years building web applications.",
"Title: Data Scientist\nCompany: DataCo\nDescription: Seeking data scientist with deep learning experience. PhD preferred. Must have publications in top ML conferences.",
"Title: Truck Driver\nCompany: FreightCo\nDescription: CDL required, long-haul routes across the Midwest. Clean driving record mandatory."
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
