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Virus-Proton
/
PII_NER

Token Classification
Transformers
Safetensors
deberta-v2
Generated from Trainer
Model card Files Files and versions
xet
Community

Instructions to use Virus-Proton/PII_NER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Virus-Proton/PII_NER with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="Virus-Proton/PII_NER")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Virus-Proton/PII_NER")
    model = AutoModelForTokenClassification.from_pretrained("Virus-Proton/PII_NER")
  • Notebooks
  • Google Colab
  • Kaggle
PII_NER
748 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 23 commits
Virus-Proton's picture
Virus-Proton
Training in progress, step 3500
42ede0a verified about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    1.2 kB
    Model save about 2 years ago
  • added_tokens.json
    23 Bytes
    Training in progress, step 500 about 2 years ago
  • config.json
    1.52 kB
    Training in progress, step 500 about 2 years ago
  • merges.txt
    456 kB
    Upload tokenizer about 2 years ago
  • model.safetensors
    735 MB
    xet
    Training in progress, step 3500 about 2 years ago
  • special_tokens_map.json
    286 Bytes
    Training in progress, step 500 about 2 years ago
  • spm.model
    2.46 MB
    xet
    Training in progress, step 500 about 2 years ago
  • tokenizer.json
    8.66 MB
    Training in progress, step 500 about 2 years ago
  • tokenizer_config.json
    1.28 kB
    Training in progress, step 500 about 2 years ago
  • training_args.bin

    Detected Pickle imports (8)

    • "torch.device",
    • "accelerate.utils.dataclasses.DistributedType",
    • "transformers.trainer_utils.HubStrategy",
    • "transformers.trainer_utils.IntervalStrategy",
    • "transformers.trainer_utils.SchedulerType",
    • "transformers.training_args.TrainingArguments",
    • "accelerate.state.PartialState",
    • "transformers.training_args.OptimizerNames"

    How to fix it?

    4.28 kB
    xet
    Training in progress, step 500 about 2 years ago
  • vocab.json
    798 kB
    Upload tokenizer about 2 years ago