# jinaai/jina-embeddings-v4
#### NOTE
This is a [remotely-sourced model](../remote.md#model-zoo-remote) from the
[jina_embeddings_v4](../../plugins/plugins_ecosystem/jina_embeddings_v4.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.
jina-embeddings-v4 is a universal embedding model for multimodal and multilingual retrieval. The model is specially designed for complex document retrieval, including visually rich documents with charts, tables, and illustrations..
**Details**
- Model name: `jinaai/jina-embeddings-v4`
- Model source: [https://huggingface.co/jinaai/jina-embeddings-v4](https://huggingface.co/jinaai/jina-embeddings-v4)
- Model author: Jina AI
- Model license: Apache 2.0
- Exposes embeddings? yes
- Tags: `embeddings, torch, visual-document-retrieval, zero-shot`
**Requirements**
- Packages: `huggingface-hub, transformers, torch, torchvision, peft`
- 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/jina_embeddings_v4")
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("jinaai/jina-embeddings-v4")
dataset.apply_model(model, label_field="predictions")
session = fo.launch_app(dataset)
```