How to use quangtqv/bi_encoder_tool_learning_best_model_16_6 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("quangtqv/bi_encoder_tool_learning_best_model_16_6") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3]
https://huggingface.co/quangtqv/bi_encoder_tool_learning_best_model_16_6/resolve/main/tokenizer.json
hf download hf://quangtqv/bi_encoder_tool_learning_best_model_16_6/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/quangtqv/bi_encoder_tool_learning_best_model_16_6/resolve/main/tokenizer.json
