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attacker8324
/
tc271

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

Instructions to use attacker8324/tc271 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use attacker8324/tc271 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="attacker8324/tc271")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("attacker8324/tc271")
    model = AutoModelForTokenClassification.from_pretrained("attacker8324/tc271", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
tc271
411 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
attacker8324's picture
attacker8324
ld probe
1954d4e verified about 24 hours ago
  • .gitattributes
    1.52 kB
    initial commit 1 day ago
  • README.md
    273 Bytes
    ld probe about 24 hours ago
  • config.json
    883 Bytes
    tc271 tiny model with label payloads 1 day ago
  • pytorch_model.bin
    380 kB
    xet
    tc271 tiny model with label payloads 1 day ago
  • special_tokens_map.json
    125 Bytes
    tc271 tiny model with label payloads 1 day ago
  • tokenizer.json
    23.1 kB
    tc271 tiny model with label payloads 1 day ago
  • tokenizer_config.json
    401 Bytes
    tc271 tiny model with label payloads 1 day ago
  • vocab.txt
    4.68 kB
    tc271 tiny model with label payloads 1 day ago