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DarthReca
/
CLOSP-VL

Feature Extraction
Transformers
Safetensors
English
closp
remote-sensing
text-to-image-retrieval
multimodal
geospatial
SAR
multispectral
crisis-management
earth-observation
contrastive-learning
custom_code
Model card Files Files and versions
xet
Community

Instructions to use DarthReca/CLOSP-VL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use DarthReca/CLOSP-VL with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="DarthReca/CLOSP-VL", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("DarthReca/CLOSP-VL", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
CLOSP-VL
2.54 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 8 commits
DarthReca's picture
DarthReca
Update README.md
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  • .gitattributes
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  • NOTICE.md
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  • README.md
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  • config.json
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  • location_encoder.py
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  • model.safetensors
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  • modeling_closp.py
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  • positional_encoding.py
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  • spherical_armonics.py
    11 MB
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