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BiliSakura
/
S5-transformers

Feature Extraction
Transformers
Safetensors
English
remote-sensing
earth-observation
self-supervised-learning
semantic-segmentation
vision
s5
s4p
vit
Model card Files Files and versions
xet
Community

Instructions to use BiliSakura/S5-transformers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use BiliSakura/S5-transformers with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="BiliSakura/S5-transformers")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("BiliSakura/S5-transformers", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
S5-transformers / ViT-L
1.27 GB
Ctrl+K
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  • 1 contributor
History: 2 commits
BiliSakura's picture
BiliSakura
Add ViT-L model.safetensors
e2b9d5e verified 4 days ago
  • config.json
    1.7 kB
    Upload 13 files 4 days ago
  • configuration_s5.py
    8.52 kB
    Upload 13 files 4 days ago
  • image_processing_s5.py
    5.52 kB
    Upload 13 files 4 days ago
  • model.safetensors
    1.27 GB
    xet
    Add ViT-L model.safetensors 4 days ago
  • modeling_s5.py
    22.4 kB
    Upload 13 files 4 days ago
  • pipeline_s5.py
    10.5 kB
    Upload 13 files 4 days ago
  • preprocessor_config.json
    432 Bytes
    Upload 13 files 4 days ago