sentence-transformers How to use philmas/cese5020-contrastive-model with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("philmas/cese5020-contrastive-model", trust_remote_code=True)
sentences = [
"Radionuclide therapy for targeted cancer treatment",
"Reinforced fish plates with a zinc coating for tropical climates",
"Tantalum alloy powders for hardened steel production.",
"Kraft pulp used extensively in the production of kraft paper and bags."
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
