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 model.safetensors from prithivMLmods/GeoGuessr-55: direct link, hf CLI and curl.
- Browser
- Download file 372 MB
-
https://huggingface.co/prithivMLmods/GeoGuessr-55/resolve/main/model.safetensors
- Command line
-
hf download hf://prithivMLmods/GeoGuessr-55/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/prithivMLmods/GeoGuessr-55/resolve/main/model.safetensors
372 MB
- Xet hash:
- f1f2bd2372d5a88283e63c1e7da8d9ae060c1bc1bef43dcdaef58801f309c5ae
- Size of remote file:
- 372 MB
- SHA256:
- f80ca469db6911e55966d2d388d85f80348c1c36a42fb3deef7612c8a8436bfd
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.