Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing

  • Log In
  • Sign Up

ghaith1997
/
butler-annotations

Token Classification
Transformers
PyTorch
layoutlmv3
Model card Files Files and versions
xet
Community
1

Instructions to use ghaith1997/butler-annotations with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ghaith1997/butler-annotations with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="ghaith1997/butler-annotations")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForTokenClassification
    
    processor = AutoProcessor.from_pretrained("ghaith1997/butler-annotations")
    model = AutoModelForTokenClassification.from_pretrained("ghaith1997/butler-annotations")
  • Notebooks
  • Google Colab
  • Kaggle
butler-annotations
1.01 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model
fc31d2e almost 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • config.json
    1.69 kB
    Upload LayoutLMv3ForTokenClassification about 3 years ago
  • model.safetensors
    504 MB
    xet
    Adding `safetensors` variant of this model almost 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

    • "torch._utils._rebuild_tensor_v2",
    • "collections.OrderedDict",
    • "torch.FloatStorage",
    • "torch.LongStorage"

    What is a pickle import?

    504 MB
    xet
    Upload LayoutLMv3ForTokenClassification about 3 years ago