<!-- # hard line break macro for HTML -->

<a id="model-zoo-omdet-turbo-swin-tiny-torch"></a>

# omdet-turbo-swin-tiny-torch

Real-time detector that finds any object you describe in words, perfect for live video analysis.

**Details**

- Model name: `omdet-turbo-swin-tiny-torch`
- Model source: [https://huggingface.co/docs/transformers/tasks/zero_shot_object_detection](https://huggingface.co/docs/transformers/tasks/zero_shot_object_detection)
- Model author: Thomas Wolf, et al.
- Model license: Apache 2.0
- Exposes embeddings? yes
- Tags: `detection, logits, embeddings, torch, transformers, zero-shot, official`

**Requirements**

- Packages: `torch, torchvision, transformers>=4.51, timm`
- 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(
    "omdet-turbo-swin-tiny-torch",
    classes=classes,
)

dataset.apply_model(model, label_field="predictions")

session = fo.launch_app(dataset)
```