Text Ranking
Transformers
Safetensors
sentence-transformers
qwen3_vl
image-text-to-text
multimodal rerank
text rerank
Instructions to use Qwen/Qwen3-VL-Reranker-8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Qwen/Qwen3-VL-Reranker-8B with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("Qwen/Qwen3-VL-Reranker-8B") model = AutoModelForImageTextToText.from_pretrained("Qwen/Qwen3-VL-Reranker-8B") - sentence-transformers
How to use Qwen/Qwen3-VL-Reranker-8B with sentence-transformers:
from sentence_transformers import CrossEncoder model = CrossEncoder("Qwen/Qwen3-VL-Reranker-8B") query = "Which planet is known as the Red Planet?" passages = [ "Venus is often called Earth's twin because of its similar size and proximity.", "Mars, known for its reddish appearance, is often referred to as the Red Planet.", "Jupiter, the largest planet in our solar system, has a prominent red spot.", "Saturn, famous for its rings, is sometimes mistaken for the Red Planet." ] scores = model.predict([(query, passage) for passage in passages]) print(scores) - Notebooks
- Google Colab
- Kaggle
Today's template update breaks sglang
#10
by jebbam - opened
Today there was a new template added:additional_chat_templates/reranker.jinja
Before, this model needed a custom template. Now one has been added, but it breaks existing templates. You get an error like:TypeError: expected str, bytes or os.PathLike object, not NoneType
This is true with transformers 4.57.1.
A workaround is to run sglang with this option:--revision a718125bb61a08e0248962cb02a58deb53ca2d27