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mlboydaisuke
/
PE-Core-base-patch16-224-LiteRT

Image Feature Extraction
LiteRT
LiteRT
PerceptionEncoder
on-device
android
gpu
clip
image-encoder
vit
rope
Model card Files Files and versions
xet
Community

Instructions to use mlboydaisuke/PE-Core-base-patch16-224-LiteRT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • LiteRT

    How to use mlboydaisuke/PE-Core-base-patch16-224-LiteRT with LiteRT:

    # No code snippets available yet for this library.
    
    # To use this model, check the repository files and the library's documentation.
    
    # Want to help? PRs adding snippets are welcome at:
    # https://github.com/huggingface/huggingface.js
  • PerceptionEncoder

    How to use mlboydaisuke/PE-Core-base-patch16-224-LiteRT with PerceptionEncoder:

    # Use PE-Core models as CLIP models
    import core.vision_encoder.pe as pe
    
    model = pe.CLIP.from_config("mlboydaisuke/PE-Core-base-patch16-224-LiteRT", pretrained=True)
    # Use any PE model as a vision encoder
    import core.vision_encoder.pe as pe
    
    model = pe.VisionTransformer.from_config("mlboydaisuke/PE-Core-base-patch16-224-LiteRT", pretrained=True)
  • Notebooks
  • Google Colab
  • Kaggle
PE-Core-base-patch16-224-LiteRT
189 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 9 commits
mlboydaisuke's picture
mlboydaisuke
Upload demo.png with huggingface_hub
f4f2877 verified about 2 hours ago
  • .gitattributes
    1.56 kB
    Upload demo.png with huggingface_hub about 3 hours ago
  • README.md
    5.48 kB
    Upload README.md with huggingface_hub about 6 hours ago
  • convert_pecore.py
    13.4 kB
    Upload convert_pecore.py with huggingface_hub about 6 hours ago
  • demo.png
    1.83 MB
    xet
    Upload demo.png with huggingface_hub about 2 hours ago
  • pe_core_base_224_fp16.tflite
    187 MB
    xet
    Upload pe_core_base_224_fp16.tflite with huggingface_hub about 6 hours ago