sentence-transformers How to use yazied49/NAdine3 with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("yazied49/NAdine3")
sentences = [
"Question: Is this describing a (1) directly correlative relationship, (2) conditionally causative relationship, (3) causative relationship, or (0) no relationship.",
"C: Iron deficiency anemia in the mother; normal Hb levels in the fetus",
"This is a conditionally causative relationship",
"C: Decreasing carbohydrate intake, increasing fat intake"
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
