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DunnBC22
/
dit-base-Document_Classification-RVL_CDIP

Image Classification
Transformers
PyTorch
TensorBoard
English
beit
Generated from Trainer
Eval Results (legacy)
Model card Files Files and versions
xet
Metrics Training metrics Community
4

Instructions to use DunnBC22/dit-base-Document_Classification-RVL_CDIP with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use DunnBC22/dit-base-Document_Classification-RVL_CDIP with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="DunnBC22/dit-base-Document_Classification-RVL_CDIP")
    pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")
    # Load model directly
    from transformers import AutoImageProcessor, AutoModelForImageClassification
    
    processor = AutoImageProcessor.from_pretrained("DunnBC22/dit-base-Document_Classification-RVL_CDIP")
    model = AutoModelForImageClassification.from_pretrained("DunnBC22/dit-base-Document_Classification-RVL_CDIP")
  • Notebooks
  • Google Colab
  • Kaggle
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Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Adding `safetensors` variant of this model

#4 opened 14 days ago by
SFconvertbot

Librarian Bot: Add base_model information to model

#3 opened over 2 years ago by
librarian-bot

Adding `safetensors` variant of this model

#2 opened almost 3 years ago by
SFconvertbot

Adding `safetensors` variant of this model

#1 opened almost 3 years ago by
SFconvertbot
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