efficientnet-b2-imagenet-torch#

Balanced efficient model providing stronger performance while maintaining reasonable resource usage.

Details

  • Model name: efficientnet-b2-imagenet-torch

  • Model source: https://huggingface.co/google/efficientnet-b2

  • Model author: Mingxing Tan and Quoc V. Le

  • Model license: Apache 2.0

  • Model size: 140.63 MB

  • Exposes embeddings? no

  • Tags: classification, imagenet, torch, transformers, efficientnet, official

Requirements

  • Packages: torch, torchvision, transformers

  • CPU support

    • yes

  • GPU support

    • yes

Example usage

 1import fiftyone as fo
 2import fiftyone.zoo as foz
 3
 4dataset = foz.load_zoo_dataset(
 5    "imagenet-sample",
 6    dataset_name=fo.get_default_dataset_name(),
 7    max_samples=50,
 8    shuffle=True,
 9)
10
11model = foz.load_zoo_model("efficientnet-b2-imagenet-torch")
12
13dataset.apply_model(model, label_field="predictions")
14
15session = fo.launch_app(dataset)