Qwen/Qwen3-VL-2B-Instruct#

From Plugin

Note

This is a remotely-sourced model from the qwen3vl_video plugin, maintained by the community. It is not part of FiftyOne core and may have special installation requirements. Please review the plugin documentation and license before use.

Qwen3-VL is a multimodal vision-language model that processes and understands both text and visual input, enabling it to analyze images, video, and perform advanced reasoning and tasks involving both modalities..

Details

  • Model name: Qwen/Qwen3-VL-2B-Instruct

  • Model source: https://huggingface.co/Qwen/Qwen3-VL-2B-Instruct

  • Model author: Qwen

  • Model license: Apache-2.0

  • Exposes embeddings? yes

  • Tags: classification, detections, torch, temporal-detections, zero-shot, video, embeddings

Requirements

  • Packages: huggingface-hub, transformers, torch, torchvision, qwen-vl-utils, decord

  • CPU support

    • yes

  • GPU support

    • yes

Example usage

 1import fiftyone as fo
 2import fiftyone.zoo as foz
 3
 4foz.register_zoo_model_source("https://github.com/harpreetsahota204/qwen3vl_video")
 5
 6dataset = foz.load_zoo_dataset(
 7    "coco-2017",
 8    split="validation",
 9    dataset_name=fo.get_default_dataset_name(),
10    max_samples=50,
11    shuffle=True,
12)
13
14model = foz.load_zoo_model("Qwen/Qwen3-VL-2B-Instruct")
15
16dataset.apply_model(model, label_field="predictions")
17
18session = fo.launch_app(dataset)