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BiliSakura
/
RSP-Swin-T

Image Classification
Transformers
Safetensors
PyTorch
rsp_swin
remote-sensing
swin-transformer
custom_code
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use BiliSakura/RSP-Swin-T with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="BiliSakura/RSP-Swin-T", trust_remote_code=True)
    pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")
    # Load model directly
    from transformers import AutoModelForImageClassification
    model = AutoModelForImageClassification.from_pretrained("BiliSakura/RSP-Swin-T", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
RSP-Swin-T / __pycache__
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  • 1 contributor
History: 1 commit
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BiliSakura
Add files using upload-large-folder tool
bc2f004 verified 3 months ago
  • modeling_rsp.cpython-312.pyc
    9.55 kB
    Add files using upload-large-folder tool 3 months ago
  • modular_swin.cpython-312.pyc
    33.4 kB
    Add files using upload-large-folder tool 3 months ago