How to use quangtqv/bi_encoder_tool_learning_9_5_5024_v3 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("quangtqv/bi_encoder_tool_learning_9_5_5024_v3") sentences = [ "That is a happy person", "That is a happy dog", "That is a very happy person", "Today is a sunny day" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
https://huggingface.co/quangtqv/bi_encoder_tool_learning_9_5_5024_v3/resolve/main/tokenizer.json
hf download hf://quangtqv/bi_encoder_tool_learning_9_5_5024_v3/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/quangtqv/bi_encoder_tool_learning_9_5_5024_v3/resolve/main/tokenizer.json
