Image Classification
Transformers
PyTorch
Safetensors
English
dinov3-geoguessr
feature-extraction
dino
dinov3
convnext
computer-vision
geolocation
geoguessr
custom_code
Eval Results (legacy)
Instructions to use Simon-Kotchou/dinov3-convnext-small-geoguessr-25k-384 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Simon-Kotchou/dinov3-convnext-small-geoguessr-25k-384 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Simon-Kotchou/dinov3-convnext-small-geoguessr-25k-384", trust_remote_code=True) pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Simon-Kotchou/dinov3-convnext-small-geoguessr-25k-384", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
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