# ModernVBERT/colmodernvbert From Plugin #### NOTE This is a [remotely-sourced model](../remote.md#model-zoo-remote) from the [colmodernvbert](../../plugins/plugins_ecosystem/colmodernvbert.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. The ModernVBERT suite is a suite of compact 250M-parameter vision-language encoders. ColModernVBERT is the late-interaction version that is fine-tuned for visual document retrieval tasks, the most performant model on this task.. **Details** - Model name: `ModernVBERT/colmodernvbert` - Model source: [https://huggingface.co/ModernVBERT/colmodernvbert](https://huggingface.co/ModernVBERT/colmodernvbert) - Model author: Paul Teiletche, et. al - Model license: MIT - 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/colmodernvbert") 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("ModernVBERT/colmodernvbert") dataset.apply_model(model, label_field="predictions") session = fo.launch_app(dataset) ```