Instructions to use yermandy/GenD_DINOv3_L with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yermandy/GenD_DINOv3_L with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="yermandy/GenD_DINOv3_L") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import GenD model = GenD.from_pretrained("yermandy/GenD_DINOv3_L", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Create requirements.txt
Browse files- requirements.txt +4 -0
requirements.txt
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torch==2.8.0
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torchaudio==2.8.0
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torchvision==0.23.0
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transformers==4.56.2
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