Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing

  • Log In
  • Sign Up

fcfrank10
/
deberta-cx-01

Token Classification
Transformers
TensorBoard
Safetensors
deberta-v2
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use fcfrank10/deberta-cx-01 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use fcfrank10/deberta-cx-01 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="fcfrank10/deberta-cx-01")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("fcfrank10/deberta-cx-01")
    model = AutoModelForTokenClassification.from_pretrained("fcfrank10/deberta-cx-01")
  • Notebooks
  • Google Colab
  • Kaggle
deberta-cx-01
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
fcfrank10's picture
fcfrank10
Training in progress, epoch 1
2b183d6 verified about 2 years ago
  • runs
    Training in progress, epoch 1 about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • config.json
    988 Bytes
    Training in progress, epoch 1 about 2 years ago
  • model.safetensors
    496 MB
    xet
    Training in progress, epoch 1 about 2 years ago
  • special_tokens_map.json
    971 Bytes
    Training in progress, epoch 1 about 2 years ago
  • tokenizer.json
    3.46 MB
    Training in progress, epoch 1 about 2 years ago
  • tokenizer_config.json
    1.24 kB
    Training in progress, epoch 1 about 2 years ago
  • training_args.bin
    4.6 kB
    xet
    Training in progress, epoch 1 about 2 years ago