Instructions to use merve/openscene-vit-dinov3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use merve/openscene-vit-dinov3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="merve/openscene-vit-dinov3") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("merve/openscene-vit-dinov3") model = AutoModelForImageClassification.from_pretrained("merve/openscene-vit-dinov3", device_map="auto") - timm
How to use merve/openscene-vit-dinov3 with timm:
import timm model = timm.create_model("hf_hub:merve/openscene-vit-dinov3", pretrained=True) - Notebooks
- Google Colab
- Kaggle
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