dinov2-base

2.0M
157
license:apache-2.0
by
facebook
Image Model
OTHER
High
2.0M downloads
Battle-tested
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Quick Summary

Vision Transformer (base-sized model) trained using DINOv2 Vision Transformer (ViT) model trained using the DINOv2 method.

Code Examples

How to usepythontransformers
from transformers import AutoImageProcessor, AutoModel
from PIL import Image
import requests

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

processor = AutoImageProcessor.from_pretrained('facebook/dinov2-base')
model = AutoModel.from_pretrained('facebook/dinov2-base')

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

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