# owlvit-large-patch14-torch Large OWL-ViT zero-shot object detector with ViT-L/14 backbone. Achieves higher accuracy than base models, especially for smaller objects.. **Details** - Model name: `owlvit-large-patch14-torch` - Model source: [https://huggingface.co/google/owlvit-large-patch14](https://huggingface.co/google/owlvit-large-patch14) - Model author: Matthias Minderer, et al. - Model license: Apache 2.0 - Model size: 1.62 GB - Exposes embeddings? no - Tags: `detection, logits, torch, transformers, zero-shot, official` **Requirements** - Packages: `torch, torchvision, transformers` - CPU support - yes - GPU support - yes **Example usage** ```python import fiftyone as fo import fiftyone.zoo as foz dataset = foz.load_zoo_dataset( "coco-2017", split="validation", dataset_name=fo.get_default_dataset_name(), max_samples=50, shuffle=True, ) classes = ["person", "dog", "cat", "bird", "car", "tree", "chair"] model = foz.load_zoo_model( "owlvit-large-patch14-torch", classes=classes, ) dataset.apply_model(model, label_field="predictions") session = fo.launch_app(dataset) ```