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# [squeezenet-1@1.1.1-imagenet-torch](mailto:squeezenet-1@1.1.1-imagenet-torch)

Tiny image classifier that fits in just five megabytes for embedded devices.

**Details**

- Model name: `squeezenet-1@1.1.1-imagenet-torch`
- Model source: [https://pytorch.org/vision/main/models.html](https://pytorch.org/vision/main/models.html)
- Model author: Forrest Iandola
- Model license: BSD 2-Clause
- Model size: 4.74 MB
- Exposes embeddings? no
- Tags: `classification, imagenet, torch, squeezenet, official`

**Requirements**

- Packages: `torch, torchvision`
- CPU support
  - yes
- GPU support
  - yes

**Example usage**

```python
import fiftyone as fo
import fiftyone.zoo as foz

dataset = foz.load_zoo_dataset(
    "imagenet-sample",
    dataset_name=fo.get_default_dataset_name(),
    max_samples=50,
    shuffle=True,
)

model = foz.load_zoo_model("squeezenet-1@1.1.1-imagenet-torch")

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

session = fo.launch_app(dataset)
```