vit-base-patch16-224-in21k

2.2M
378
3 languages
license:apache-2.0
by
google
Image Model
OTHER
High
2.2M downloads
Battle-tested
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Quick Summary

Vision Transformer (ViT) model pre-trained on ImageNet-21k (14 million images, 21,843 classes) at resolution 224x224.

Code Examples

pythontransformers
from transformers import ViTImageProcessor, FlaxViTModel
from PIL import Image
import requests

url = 'http://images.cocodataset.org/val2017/000000039769.jpg'
image = Image.open(requests.get(url, stream=True).raw)

processor = ViTImageProcessor.from_pretrained('google/vit-base-patch16-224-in21k')
model = FlaxViTModel.from_pretrained('google/vit-base-patch16-224-in21k')

inputs = processor(images=image, return_tensors="np")
outputs = model(**inputs)
last_hidden_states = outputs.last_hidden_state

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