sentence-transformers How to use GozdeA/tennis-multi-return-catboost-v3 with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("GozdeA/tennis-multi-return-catboost-v3")
sentences = [
"2026 for Djokovic?",
"What is the serve speed for he?",
"momentum for Djokovic?",
"2026 for Sinner?"
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
