# nomic-ai/nomic-embed-multimodal-3b
#### NOTE
This is a [remotely-sourced model](../remote.md#model-zoo-remote) from the
[nomic-embed-multimodal](../../plugins/plugins_ecosystem/nomic_embed_multimodal.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.
nomic-embed-multimodal-3b is a dense state-of-the-art multimodal embedding model that excels at visual document retrieval tasks..
**Details**
- Model name: `nomic-ai/nomic-embed-multimodal-3b`
- Model source: [https://huggingface.co/nomic-ai/nomic-embed-multimodal-7b](https://huggingface.co/nomic-ai/nomic-embed-multimodal-7b)
- Model author: Nomic AI
- Model license: Apache-2.0
- Exposes embeddings? yes
- Tags: `classification, logits, embeddings, torch, visual-document-retrieval, zero-shot`
**Requirements**
- Packages: `huggingface-hub, transformers, torch, torchvision, colpali-engine`
- 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/nomic-embed-multimodal")
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("nomic-ai/nomic-embed-multimodal-3b")
dataset.apply_model(model, label_field="predictions")
session = fo.launch_app(dataset)
```