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yihanwang617
/
watermarking_classification

Token Classification
Transformers
Safetensors
bert
Model card Files Files and versions
xet
Community

Instructions to use yihanwang617/watermarking_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use yihanwang617/watermarking_classification with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="yihanwang617/watermarking_classification")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("yihanwang617/watermarking_classification")
    model = AutoModelForTokenClassification.from_pretrained("yihanwang617/watermarking_classification")
  • Notebooks
  • Google Colab
  • Kaggle
watermarking_classification
432 MB
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  • 1 contributor
History: 3 commits
yihanwang617's picture
yihanwang617
Upload tokenizer
8a60707 verified about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    5.18 kB
    Upload BertForTokenClassification about 2 years ago
  • config.json
    770 Bytes
    Upload BertForTokenClassification about 2 years ago
  • model.safetensors
    431 MB
    xet
    Upload BertForTokenClassification about 2 years ago
  • special_tokens_map.json
    695 Bytes
    Upload tokenizer about 2 years ago
  • tokenizer.json
    669 kB
    Upload tokenizer about 2 years ago
  • tokenizer_config.json
    1.23 kB
    Upload tokenizer about 2 years ago
  • vocab.txt
    213 kB
    Upload tokenizer about 2 years ago