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latofat
/
uzpostagger-latin-3

Token Classification
Transformers
PyTorch
bert
Generated from Trainer
Model card Files Files and versions
xet
Community
2

Instructions to use latofat/uzpostagger-latin-3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use latofat/uzpostagger-latin-3 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="latofat/uzpostagger-latin-3")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("latofat/uzpostagger-latin-3")
    model = AutoModelForTokenClassification.from_pretrained("latofat/uzpostagger-latin-3", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
uzpostagger-latin-3
438 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 6 commits
latofat's picture
latofat
Update README.md
189e1f9 verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    3.38 kB
    Update README.md over 1 year ago
  • config.json
    1.27 kB
    Training in progress, epoch 1 over 2 years ago
  • merges.txt
    287 kB
    Training in progress, epoch 1 over 2 years ago
  • pytorch_model.bin
    436 MB
    xet
    End of training over 2 years ago
  • special_tokens_map.json
    280 Bytes
    Training in progress, epoch 1 over 2 years ago
  • tokenizer.json
    1.3 MB
    Training in progress, epoch 1 over 2 years ago
  • tokenizer_config.json
    1.21 kB
    Training in progress, epoch 1 over 2 years ago
  • training_args.bin
    4.47 kB
    xet
    Training in progress, epoch 1 over 2 years ago
  • vocab.json
    491 kB
    Training in progress, epoch 1 over 2 years ago