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ficsort
/
deberta-v3-base-conll2003-pos

Token Classification
Transformers
PyTorch
deberta-v2
Model card Files Files and versions
xet
Community
1

Instructions to use ficsort/deberta-v3-base-conll2003-pos with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ficsort/deberta-v3-base-conll2003-pos with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="ficsort/deberta-v3-base-conll2003-pos")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("ficsort/deberta-v3-base-conll2003-pos")
    model = AutoModelForTokenClassification.from_pretrained("ficsort/deberta-v3-base-conll2003-pos")
  • Notebooks
  • Google Colab
  • Kaggle
deberta-v3-base-conll2003-pos
747 MB
Ctrl+K
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  • 1 contributor
History: 4 commits
ficsort's picture
ficsort
Update config.json
b9eea36 almost 3 years ago
  • .gitattributes
    1.48 kB
    initial commit almost 3 years ago
  • added_tokens.json
    23 Bytes
    Upload tokenizer almost 3 years ago
  • config.json
    2.39 kB
    Update config.json almost 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    736 MB
    xet
    Upload DebertaV2ForTokenClassification almost 3 years ago
  • special_tokens_map.json
    173 Bytes
    Upload tokenizer almost 3 years ago
  • spm.model
    2.46 MB
    xet
    Upload tokenizer almost 3 years ago
  • tokenizer.json
    8.66 MB
    Upload tokenizer almost 3 years ago
  • tokenizer_config.json
    454 Bytes
    Upload tokenizer almost 3 years ago