Duplicated from Qwen/Qwen3-VL-Embedding-8B
How to use abdebug2003/qwen3-vl-embedding-endpoint with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("abdebug2003/qwen3-vl-embedding-endpoint") 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]
How to use abdebug2003/qwen3-vl-embedding-endpoint with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("abdebug2003/qwen3-vl-embedding-endpoint") model = AutoModelForMultimodalLM.from_pretrained("abdebug2003/qwen3-vl-embedding-endpoint", device_map="auto")
