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tner
/
deberta-v3-large-btc

Token Classification
Transformers
PyTorch
deberta-v2
Eval Results (legacy)
Model card Files Files and versions
xet
Community
2

Instructions to use tner/deberta-v3-large-btc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use tner/deberta-v3-large-btc with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="tner/deberta-v3-large-btc")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("tner/deberta-v3-large-btc")
    model = AutoModelForTokenClassification.from_pretrained("tner/deberta-v3-large-btc")
  • Notebooks
  • Google Colab
  • Kaggle
deberta-v3-large-btc
1.75 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
asahi417's picture
asahi417
model update
59fbbac over 3 years ago
  • eval
    model update over 3 years ago
  • .gitattributes
    1.38 kB
    initial commit over 3 years ago
  • README.md
    5.53 kB
    model update over 3 years ago
  • added_tokens.json
    23 Bytes
    add tokenizer over 3 years ago
  • config.json
    4.42 kB
    model update over 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    1.74 GB
    xet
    add model over 3 years ago
  • special_tokens_map.json
    173 Bytes
    add tokenizer over 3 years ago
  • spm.model
    2.46 MB
    xet
    add tokenizer over 3 years ago
  • tokenizer.json
    8.65 MB
    add tokenizer over 3 years ago
  • tokenizer_config.json
    425 Bytes
    model update over 3 years ago
  • trainer_config.json
    338 Bytes
    model update over 3 years ago