Instructions to use facebook/dinov2-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/dinov2-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="facebook/dinov2-large")# Load model directly from transformers import AutoImageProcessor, AutoModel processor = AutoImageProcessor.from_pretrained("facebook/dinov2-large") model = AutoModel.from_pretrained("facebook/dinov2-large") - Notebooks
- Google Colab
- Kaggle
Can't reproduce outliers (patch embeddings of very high norm)
1
#7 opened 10 months ago
by
niktheod
recommended server to host DINOv2
#6 opened over 1 year ago
by
alecauduro
Request: DOI
#5 opened over 2 years ago
by
SushantGautam
Image_size differences
2
#4 opened over 2 years ago
by
lombardata
AWS Instance For run DINOV2
3
#1 opened almost 3 years ago
by
iamajithkumar