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geolocal
/
StreetCLIP

Zero-Shot Image Classification
Transformers
PyTorch
English
clip
geolocalization
geolocation
geographic
street
climate
urban
rural
multi-modal
geoguessr
Model card Files Files and versions
xet
Community
6

Instructions to use geolocal/StreetCLIP with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use geolocal/StreetCLIP with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("zero-shot-image-classification", model="geolocal/StreetCLIP")
    pipe(
        "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png",
        candidate_labels=["animals", "humans", "landscape"],
    )
    # Load model directly
    from transformers import AutoProcessor, AutoModelForZeroShotImageClassification
    
    processor = AutoProcessor.from_pretrained("geolocal/StreetCLIP")
    model = AutoModelForZeroShotImageClassification.from_pretrained("geolocal/StreetCLIP")
  • Notebooks
  • Google Colab
  • Kaggle
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Licensing

👍 1
#6 opened 10 months ago by
shashi-netra

code

#5 opened over 1 year ago by
HAHA77

Great work, and thanks for sharing! I wrote a pipeline to reproduce the results from the paper, but the results are different.

1
#4 opened over 2 years ago by
Zilun

Pre-defined "class names" list ?

#3 opened over 2 years ago by
shodanx2

Adding `safetensors` variant of this model

#2 opened over 2 years ago by
SFconvertbot

Adding `safetensors` variant of this model

#1 opened over 2 years ago by
SFconvertbot
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