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jimypbr
/
test-ner

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

Instructions to use jimypbr/test-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use jimypbr/test-ner with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="jimypbr/test-ner")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("jimypbr/test-ner")
    model = AutoModelForTokenClassification.from_pretrained("jimypbr/test-ner", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
test-ner
252 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 8 commits
jimypbr's picture
jimypbr
update model card README.md
da10946 almost 4 years ago
  • .gitattributes
    1.34 kB
    initial commit almost 4 years ago
  • .gitignore
    13 Bytes
    Training in progress, step 500 almost 4 years ago
  • README.md
    1.77 kB
    update model card README.md almost 4 years ago
  • all_results.json
    515 Bytes
    End of training almost 4 years ago
  • config.json
    1.07 kB
    Training in progress, step 500 almost 4 years ago
  • eval_results.json
    340 Bytes
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  • ipu_config.json
    869 Bytes
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  • merges.txt
    456 kB
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  • pytorch_model.bin
    248 MB
    xet
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  • special_tokens_map.json
    280 Bytes
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  • tokenizer.json
    2.11 MB
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  • tokenizer_config.json
    379 Bytes
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  • train_results.json
    195 Bytes
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  • trainer_state.json
    1.25 kB
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  • training_args.bin
    2.67 kB
    xet
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  • vocab.json
    798 kB
    Training in progress, step 500 almost 4 years ago