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DarthReca
/
CLOSP-RN

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-RN with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use DarthReca/CLOSP-RN with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="DarthReca/CLOSP-RN", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("DarthReca/CLOSP-RN", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
CLOSP-RN
310 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 21 commits
DarthReca's picture
DarthReca
Update README.md
0661919 verified 9 months ago
  • .gitattributes
    1.58 kB
    Upload spherical_armonics.py 10 months ago
  • NOTICE.md
    1.28 kB
    Create NOTICE.md 10 months ago
  • README.md
    2.1 kB
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  • config.json
    617 Bytes
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  • location_encoder.py
    4.02 kB
    Create location_encoder.py 10 months ago
  • model.safetensors
    299 MB
    xet
    Upload model 10 months ago
  • modeling_closp.py
    7.01 kB
    Create modeling_closp.py 10 months ago
  • positional_encoding.py
    3.46 kB
    Create positional_encoding.py 10 months ago
  • spherical_armonics.py
    11 MB
    xet
    Upload spherical_armonics.py 10 months ago