Sentence Similarity
sentence-transformers
Safetensors
Transformers
qwen3_vl
image-text-to-text
multimodal embedding
qwen
embedding
Instructions to use Qwen/Qwen3-VL-Embedding-2B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use Qwen/Qwen3-VL-Embedding-2B with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Qwen/Qwen3-VL-Embedding-2B") 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] - Transformers
How to use Qwen/Qwen3-VL-Embedding-2B with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("Qwen/Qwen3-VL-Embedding-2B") model = AutoModelForMultimodalLM.from_pretrained("Qwen/Qwen3-VL-Embedding-2B", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
does vLLM support the Qwen3-VL-Embedding series to deploy locally?
#7
by wushiqi22 - opened
does vLLM support the Qwen3-VL-Embedding series to deploy locally?
https://github.com/QwenLM/Qwen3-VL-Embedding/issues/2#issuecomment-3724954721
It is told by a vllm contributor that both qwen3-vl-embedding & reranker will be supported in vllm v0.14.0 (not released yet).
https://github.com/QwenLM/Qwen3-VL-Embedding/issues/2#issuecomment-3724954721
It is told by a vllm contributor that both qwen3-vl-embedding & reranker will be supported in vllm v0.14.0 (not released yet).
Thank you very much, you've been a great help!