How to use QuaduxIT/Qwen3-VL-Embedding-8B-W8A16 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="QuaduxIT/Qwen3-VL-Embedding-8B-W8A16")
# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("QuaduxIT/Qwen3-VL-Embedding-8B-W8A16") model = AutoModelForMultimodalLM.from_pretrained("QuaduxIT/Qwen3-VL-Embedding-8B-W8A16", device_map="auto")
How to use QuaduxIT/Qwen3-VL-Embedding-8B-W8A16 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("QuaduxIT/Qwen3-VL-Embedding-8B-W8A16") 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]
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