sentence-transformers How to use MANMEET75/pubmedbert-base-embedding-Chatbot-Matryoshk with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("MANMEET75/pubmedbert-base-embedding-Chatbot-Matryoshk")
sentences = [
"If you receive a BharatPe speaker that you didn't order, please contact BharatPe support immediately. They will assist in resolving the issue and advise on the next steps.",
"Can I control multiple BharatPe speakers from one app?",
"What to do if the BharatPe speaker's transaction announcements are intermittently silent?",
"What should I do if I receive a BharatPe speaker without ordering it?"
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
