How to use GozdeA/tennis-multi-return-catboost-v2 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("GozdeA/tennis-multi-return-catboost-v2") sentences = [ "Show me contest time", "How did Shelton and he compare in momentum during set 2?", "What is the key factors for Djokovic?", "What is the how many winners for Djokovic?" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
https://huggingface.co/GozdeA/tennis-multi-return-catboost-v2/resolve/main/tokenizer.json
hf download hf://GozdeA/tennis-multi-return-catboost-v2/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/GozdeA/tennis-multi-return-catboost-v2/resolve/main/tokenizer.json
