Instructions to use stevetod/doduo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use stevetod/doduo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="stevetod/doduo", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("stevetod/doduo", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
Doduo: Dense Visual Correspondence from Unsupervised Semantic-Aware Flow
Zhenyu Jiang, Hanwen Jiang, Yuke Zhu
University of Texas at Austin
Usage
from transformers import AutoModel
model = AutoModel.from_pretrained("stevetod/doduo", trust_remote_code=True)
flow = model(frame_src, frame_dst)
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