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codewithdark
/
HybridLinformer

Image Classification
Transformers
Safetensors
English
HybridLinformer
torch
CustomModel
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use codewithdark/HybridLinformer with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="codewithdark/HybridLinformer")
    pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")
    # Load model directly
    from transformers import PretrainHvitLinformer
    model = PretrainHvitLinformer.from_pretrained("codewithdark/HybridLinformer", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
HybridLinformer
111 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
codewithdark's picture
codewithdark
Create README.md
0d4f497 verified about 1 year ago
  • .gitattributes
    1.52 kB
    initial commit about 1 year ago
  • README.md
    156 Bytes
    Create README.md about 1 year ago
  • config.json
    241 Bytes
    Upload folder using huggingface_hub about 1 year ago
  • model.safetensors
    111 MB
    xet
    Upload folder using huggingface_hub about 1 year ago
  • preprocessor_config.json
    208 Bytes
    Upload folder using huggingface_hub about 1 year ago