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alicenkbaytop
/
model_output

Token Classification
Transformers
PyTorch
TensorBoard
distilbert
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community
2

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

  • Libraries
  • Transformers

    How to use alicenkbaytop/model_output with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="alicenkbaytop/model_output")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("alicenkbaytop/model_output")
    model = AutoModelForTokenClassification.from_pretrained("alicenkbaytop/model_output", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
model_output
266 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
alicenkbaytop's picture
alicenkbaytop
update model card README.md
894d32c about 3 years ago
  • runs
    End of training about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • .gitignore
    13 Bytes
    Training in progress, epoch 1 about 3 years ago
  • README.md
    1.57 kB
    update model card README.md about 3 years ago
  • config.json
    701 Bytes
    Training in progress, epoch 1 about 3 years ago
  • pytorch_model.bin
    265 MB
    xet
    End of training about 3 years ago
  • special_tokens_map.json
    125 Bytes
    Training in progress, epoch 1 about 3 years ago
  • tokenizer.json
    711 kB
    Training in progress, epoch 1 about 3 years ago
  • tokenizer_config.json
    320 Bytes
    Training in progress, epoch 1 about 3 years ago
  • training_args.bin
    3.9 kB
    xet
    Training in progress, epoch 1 about 3 years ago
  • vocab.txt
    232 kB
    Training in progress, epoch 1 about 3 years ago