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Aikimi
/
clef-nf4

Image Classification
Transformers
Safetensors
qwen3_5
feature-extraction
clef
bitsandbytes
quantized
4-bit precision
Model card Files Files and versions
xet
Community

Instructions to use Aikimi/clef-nf4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Aikimi/clef-nf4 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="Aikimi/clef-nf4")
    pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoProcessor, AutoModel
    
    processor = AutoProcessor.from_pretrained("Aikimi/clef-nf4")
    model = AutoModel.from_pretrained("Aikimi/clef-nf4", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
clef-nf4 / clef_runtime
30.7 kB
Ctrl+K
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  • 1 contributor
History: 2 commits
Aikimi's picture
Aikimi
Fix image pixel bounds and record actual preprocessing size
8296a67 verified 4 days ago
  • __init__.py
    72 Bytes
    Add files using upload-large-folder tool 4 days ago
  • bundle.py
    3.31 kB
    Add files using upload-large-folder tool 4 days ago
  • cache.py
    1.35 kB
    Add files using upload-large-folder tool 4 days ago
  • core.py
    16 kB
    Fix image pixel bounds and record actual preprocessing size 4 days ago
  • runtime.py
    9.91 kB
    Fix image pixel bounds and record actual preprocessing size 4 days ago