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serbanstein
/
bert_invoice_classfier

Text Classification
Transformers
PyTorch
Safetensors
bert
finance
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use serbanstein/bert_invoice_classfier with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="serbanstein/bert_invoice_classfier")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("serbanstein/bert_invoice_classfier")
    model = AutoModelForSequenceClassification.from_pretrained("serbanstein/bert_invoice_classfier")
  • Notebooks
  • Google Colab
  • Kaggle
bert_invoice_classfier
876 MB
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  • 2 contributors
History: 4 commits
serbanstein's picture
serbanstein
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model (#1)
f25cea5 over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    70 Bytes
    Update README.md over 2 years ago
  • config.json
    1.27 kB
    Upload 2 files over 2 years ago
  • model.safetensors
    438 MB
    xet
    Adding `safetensors` variant of this model (#1) over 2 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    438 MB
    xet
    Upload 2 files over 2 years ago