How to use GozdeA/tennis-multi-return-v4 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("GozdeA/tennis-multi-return-v4") sentences = [ "What are the serving today for Djokovic?", "serving for Djokovic?", "last for Djokovic?", "What is the serving today for Djokovic?" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
https://huggingface.co/GozdeA/tennis-multi-return-v4/resolve/main/label_mapping.json
hf download hf://GozdeA/tennis-multi-return-v4/label_mapping.json
curl -L -o label_mapping.json https://huggingface.co/GozdeA/tennis-multi-return-v4/resolve/main/label_mapping.json
