Instructions to use nvidia/groupvit-gcc-yfcc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nvidia/groupvit-gcc-yfcc with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="nvidia/groupvit-gcc-yfcc")# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("nvidia/groupvit-gcc-yfcc") model = AutoModel.from_pretrained("nvidia/groupvit-gcc-yfcc") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bed62db53fb01854f903a7e050a19efb255bac259619b976e5466ae64e5f5137
- Size of remote file:
- 224 MB
- SHA256:
- 63f08d517654420b5c6b599aae6cb0696c7284db7a0ceb463e7e33bd44990422
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