sentence-transformers How to use candidatePI/candidate-ft-model with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("candidatePI/candidate-ft-model")
sentences = [
"Frontend performance optimization including lazy loading, code splitting, caching",
"Optimized React applications with code splitting reducing initial load by 60%",
"Implemented mutation testing successfully",
"Designed event-driven architecture using RabbitMQ with dead letter queues"
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
