sentence-transformers How to use Auto-opts/flax-TMNRLB_CVR with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("Auto-opts/flax-TMNRLB_CVR")
sentences = [
"compression therapy benefits",
"edema: what is, causes, symptoms, and treatment",
"How VIN Data Enhances Market Value Assessments",
"Daily Iron Intake from Leafy Greens and Fortified Cereals"
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
