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Columba1198
/
EgaraNet

Image Feature Extraction
Transformers
ONNX
Safetensors
English
Japanese
egara_net
feature-extraction
embeddings
illustration
vision-transformer
dino
custom-architecture
custom_code
Model card Files Files and versions
xet
Community

Instructions to use Columba1198/EgaraNet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Columba1198/EgaraNet with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-feature-extraction", model="Columba1198/EgaraNet", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("Columba1198/EgaraNet", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
EgaraNet / onnx
2.46 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 17 commits
Columba1198's picture
Columba1198
Upload folder using huggingface_hub
8cc4184 verified 3 months ago
  • egara_net_fp16.onnx
    700 MB
    xet
    Upload folder using huggingface_hub 3 months ago
  • egara_net_fp32.onnx
    1.39 GB
    xet
    Upload folder using huggingface_hub 3 months ago
  • egara_net_int8.onnx
    362 MB
    xet
    Upload folder using huggingface_hub 3 months ago