# llamaindex/vdr-2b-multi-v1
#### NOTE
This is a [remotely-sourced model](../remote.md#model-zoo-remote) from the
[visual_document_retrieval](../../plugins/plugins_ecosystem/visual_document_retrieval.html) 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.
vdr-2b-multi-v1 is a multilingual embedding model designed for visual document retrieval across multiple languages and domains. It encodes document page screenshots into dense single-vector representations, this will effectively allow to search and query visually rich multilingual documents without the need for any OCR, data extraction pipelines, and chunking. It’s trained on 🇮🇹 Italian, 🇪🇸 Spanish, 🇬🇧 English, 🇫🇷 French and 🇩🇪 German.
**Details**
- Model name: `llamaindex/vdr-2b-multi-v1`
- Model source: [https://huggingface.co/llamaindex/vdr-2b-multi-v1](https://huggingface.co/llamaindex/vdr-2b-multi-v1)
- Model author: LlamaIndex
- Model license: Apache-2.0 license
- Exposes embeddings? yes
- Tags: `embeddings, ocr, VLM, document-retrieval`
**Requirements**
- Packages: `huggingface-hub, transformers, torch, torchvision, qwen-vl-utils, accelerate, autoawq==0.2.7.post3`
- CPU support
- yes
- GPU support
- yes
**Example usage**
```python
import fiftyone as fo
import fiftyone.zoo as foz
foz.register_zoo_model_source("https://github.com/harpreetsahota204/visual_document_retrieval")
dataset = foz.load_zoo_dataset(
"coco-2017",
split="validation",
dataset_name=fo.get_default_dataset_name(),
max_samples=50,
shuffle=True,
)
model = foz.load_zoo_model("llamaindex/vdr-2b-multi-v1")
dataset.apply_model(model, label_field="predictions")
session = fo.launch_app(dataset)
```