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jmanuelc87
/
DocuNet_256x256_FineTuned_CLS6

Image Classification
Transformers
Safetensors
docunet
CNN
EfficientNet
Classification
custom_code
Model card Files Files and versions
xet
Community

Instructions to use jmanuelc87/DocuNet_256x256_FineTuned_CLS6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use jmanuelc87/DocuNet_256x256_FineTuned_CLS6 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="jmanuelc87/DocuNet_256x256_FineTuned_CLS6", 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("jmanuelc87/DocuNet_256x256_FineTuned_CLS6", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
DocuNet_256x256_FineTuned_CLS6
70.8 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
jmanuelc87's picture
jmanuelc87
Update README.md
398a02c verified 9 months ago
  • .gitattributes
    1.52 kB
    initial commit 10 months ago
  • README.md
    1.57 kB
    Update README.md 9 months ago
  • config.json
    392 Bytes
    Upload DocuNetForImageClassification 10 months ago
  • configuration_docunet.py
    479 Bytes
    Upload DocuNetForImageClassification 10 months ago
  • docunet.py
    1.33 kB
    Upload DocuNetForImageClassification 10 months ago
  • model.safetensors
    70.8 MB
    xet
    Upload DocuNetForImageClassification 10 months ago
  • modeling_docunet.py
    1.09 kB
    Upload DocuNetForImageClassification 10 months ago