vit-base-patch16-224-imagenet-torch

Modern image classifier that recognizes objects and provides useful features for various computer vision tasks.

Details

• Model name: vit-base-patch16-224-imagenet-torch

• Model source: https://huggingface.co/docs/transformers/tasks/image_classification

• Model author: Thomas Wolf, et al.

• Model license: Apache 2.0

• Model size: 330.31 MB

• Exposes embeddings? yes

• Tags: classification, logits, embeddings, torch, transformers, official

Requirements

• Packages: torch, torchvision, transformers

• CPU support

  • yes

• GPU support

  • yes

Example usage

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("vit-base-patch16-224-imagenet-torch")

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

session = fo.launch_app(dataset)