Image Classification
Transformers
Safetensors
English
siglip
GeoGuessr
55
Loaction
RSI
Remote Sensing Instruments
Instructions to use prithivMLmods/GeoGuessr-55 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prithivMLmods/GeoGuessr-55 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="prithivMLmods/GeoGuessr-55") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForImageClassification processor = AutoProcessor.from_pretrained("prithivMLmods/GeoGuessr-55") model = AutoModelForImageClassification.from_pretrained("prithivMLmods/GeoGuessr-55", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download README.md from prithivMLmods/GeoGuessr-55: direct link, hf CLI and curl.
- Browser
- Download file 45 Bytes
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https://huggingface.co/prithivMLmods/GeoGuessr-55/resolve/14391d683d27ebbad140079767fb124713518d2f/README.md
- Command line
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hf download hf://prithivMLmods/GeoGuessr-55@14391d683d27ebbad140079767fb124713518d2f/README.md
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curl -L -o README.md https://huggingface.co/prithivMLmods/GeoGuessr-55/resolve/14391d683d27ebbad140079767fb124713518d2f/README.md
45 Bytes
metadata
datasets:
- marcelomoreno26/geoguessr