# detection-transformer-torch Modern object detector that finds items in images without needing complex post-processing steps. **Details** - Model name: `detection-transformer-torch` - Model source: [https://huggingface.co/docs/transformers/tasks/object_detection](https://huggingface.co/docs/transformers/tasks/object_detection) - Model author: Thomas Wolf, et al. - Model license: Apache 2.0 - Exposes embeddings? yes - Tags: `detection, logits, embeddings, torch, transformers, 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, ) model = foz.load_zoo_model("detection-transformer-torch") dataset.apply_model(model, label_field="predictions") session = fo.launch_app(dataset) ```