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
Download checkpoint-1574/optimizer.pt from prithivMLmods/GeoGuessr-55: direct link, hf CLI and curl.
- Browser
- Download file 687 MB
-
https://huggingface.co/prithivMLmods/GeoGuessr-55/resolve/main/checkpoint-1574/optimizer.pt
- Command line
-
hf download hf://prithivMLmods/GeoGuessr-55/checkpoint-1574/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/prithivMLmods/GeoGuessr-55/resolve/main/checkpoint-1574/optimizer.pt
687 MB
- Xet hash:
- bdf6e97961ac66e93423f941b0269a7d5313cb9bf0a72880e61c29552c1344c2
- Size of remote file:
- 687 MB
- SHA256:
- 0d03a0bc42163f1673784f932b9b2394eb58dbabbc22ba36fd04cda1726961e6
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