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GFM-Bench
/
LESSViT-Base

Feature Extraction
Transformers
Safetensors
English
lessvit
hyperspectral
remote-sensing
geospatial
vision-transformer
custom_code
Model card Files Files and versions
xet
Community

Instructions to use GFM-Bench/LESSViT-Base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use GFM-Bench/LESSViT-Base with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="GFM-Bench/LESSViT-Base", trust_remote_code=True)
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("GFM-Bench/LESSViT-Base", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
LESSViT-Base / pretraining
431 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
Ehzoahis's picture
Ehzoahis
Release LESSViT checkpoint and directly loadable encoder
586325c verified 1 day ago
  • architecture.json
    1.09 kB
    Release LESSViT checkpoint and directly loadable encoder 1 day ago
  • model.safetensors
    431 MB
    xet
    Release LESSViT checkpoint and directly loadable encoder 1 day ago