sentence-transformers How to use Auto-opts/flax-TMNRLB with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("Auto-opts/flax-TMNRLB")
sentences = [
"6 drinks that unclog arteries",
"Endothelial Function and Its Role in Arterial Health",
"Combining Mupirocin with Other Skin Regimens",
"Antioxidant-Rich Diets and Neuroprotection"
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
