# efficientnet-b6-imagenet-torch Extended efficient model approaching state-of-the-art accuracy on challenging datasets. **Details** - Model name: `efficientnet-b6-imagenet-torch` - Model source: [https://huggingface.co/google/efficientnet-b6](https://huggingface.co/google/efficientnet-b6) - Model author: Mingxing Tan and Quoc V. Le - Model license: Apache 2.0 - Model size: 661.19 MB - Exposes embeddings? yes - Tags: `classification, imagenet, torch, transformers, efficientnet, official, embeddings` **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( "imagenet-sample", dataset_name=fo.get_default_dataset_name(), max_samples=50, shuffle=True, ) model = foz.load_zoo_model("efficientnet-b6-imagenet-torch") dataset.apply_model(model, label_field="predictions") session = fo.launch_app(dataset) ```