sentence-transformers How to use Sneki04/Juanployment-JobMatching-Model with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("Sneki04/Juanployment-JobMatching-Model")
sentences = [
"Job Title: Software Developer. Skills Required: Python, JavaScript, React. Education Level: Bachelor of Science in Computer Science. Industry: Information Technology. Location: Makati City. Job Type: Full-time.",
"Skills: Python, JavaScript, React, SQL. Experience: Software Developer at Accenture Philippines. Education: Bachelor of Science in Computer Science. Preferences - Industry: Information Technology, Location: Makati City, Job Type: Full-time.",
"Skills: Cooking, Food Preparation. Experience: Cook at Jollibee. Education: High School Graduate. Preferences - Industry: Food and Beverage, Location: Manila City, Job Type: Part-time.",
"Skills: Customer Service, Communication Skills. Experience: Customer Service Representative at Concentrix. Education: College Graduate. Preferences - Industry: BPO, Location: BGC Taguig, Job Type: Full-time."
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
