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BiliSakura
/
RSP-ViTAEv2-S

Image Classification
Transformers
Safetensors
PyTorch
rsp_vitae
remote-sensing
vitae
custom_code
Model card Files Files and versions
xet
Community

Instructions to use BiliSakura/RSP-ViTAEv2-S with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use BiliSakura/RSP-ViTAEv2-S with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="BiliSakura/RSP-ViTAEv2-S", 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-ViTAEv2-S", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
RSP-ViTAEv2-S
75.9 MB
Ctrl+K
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  • 1 contributor
History: 4 commits
BiliSakura's picture
BiliSakura
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  • __pycache__
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  • .gitattributes
    1.52 kB
    initial commit 4 months ago
  • README.md
    1.38 kB
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  • config.json
    851 Bytes
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  • configuration_rsp.py
    2.65 kB
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  • model.safetensors
    75.8 MB
    xet
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  • modeling_rsp.py
    9.61 kB
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  • modular_vitae_window_noshift.py
    46.7 kB
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