Duplicated from ssmits/Qwen2-7B-Instruct-embed-base
How to use vllm-project/Qwen2-7B-Instruct-embed-base with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("vllm-project/Qwen2-7B-Instruct-embed-base") 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/vllm-project/Qwen2-7B-Instruct-embed-base/resolve/main/tokenizer.json
hf download hf://vllm-project/Qwen2-7B-Instruct-embed-base/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/vllm-project/Qwen2-7B-Instruct-embed-base/resolve/main/tokenizer.json
