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swtb
/
encoder

Token Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
Eval Results (legacy)
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use swtb/encoder with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="swtb/encoder")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("swtb/encoder")
    model = AutoModelForTokenClassification.from_pretrained("swtb/encoder")
  • Notebooks
  • Google Colab
  • Kaggle
encoder
Ctrl+K
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  • 1 contributor
History: 2 commits
swtb's picture
swtb
End of training
bd34ad8 verified almost 2 years ago
  • .gitattributes
    1.57 kB
    End of training almost 2 years ago
  • README.md
    4.78 kB
    End of training almost 2 years ago
  • config.json
    1.06 kB
    End of training almost 2 years ago
  • model.safetensors
    2.24 GB
    xet
    End of training almost 2 years ago
  • special_tokens_map.json
    280 Bytes
    End of training almost 2 years ago
  • tokenizer.json
    17.1 MB
    xet
    End of training almost 2 years ago
  • tokenizer_config.json
    1.15 kB
    End of training almost 2 years ago
  • training_args.bin
    5.18 kB
    xet
    End of training almost 2 years ago