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universalner
/
uner_all

Token Classification
Transformers
PyTorch
Safetensors
xlm-roberta
Generated from Trainer
Eval Results (legacy)
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use universalner/uner_all with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="universalner/uner_all")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("universalner/uner_all")
    model = AutoModelForTokenClassification.from_pretrained("universalner/uner_all")
  • Notebooks
  • Google Colab
  • Kaggle
uner_all
4.49 GB
Ctrl+K
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  • 4 contributors
History: 6 commits
stefan-it's picture
stefan-it
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model (#1)
8473fe2 verified over 1 year ago
  • .gitattributes
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  • README.md
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  • all_results.json
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  • config.json
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  • eval_results.json
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  • model.safetensors
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  • predict_results.json
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  • predictions.txt
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  • pytorch_model.bin
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  • special_tokens_map.json
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  • tokenizer.json
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  • tokenizer_config.json
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  • train_results.json
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  • trainer_state.json
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  • training_args.bin
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