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cynthiachan
/
finetuned-bert-base

Token Classification
Transformers
PyTorch
bert
Generated from Trainer
Model card Files Files and versions
xet
Community
1

Instructions to use cynthiachan/finetuned-bert-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use cynthiachan/finetuned-bert-base with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="cynthiachan/finetuned-bert-base")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("cynthiachan/finetuned-bert-base")
    model = AutoModelForTokenClassification.from_pretrained("cynthiachan/finetuned-bert-base")
  • Notebooks
  • Google Colab
  • Kaggle
finetuned-bert-base
433 MB
Ctrl+K
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  • 1 contributor
History: 3 commits
cynthiachan's picture
cynthiachan
Upload pytorch_model.bin
8acb604 over 3 years ago
  • .gitattributes
    1.48 kB
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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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  • predict_results.json
    2.76 kB
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  • predictions.txt
    1.13 MB
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  • pytorch_model.bin
    431 MB
    xet
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  • special_tokens_map.json
    125 Bytes
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  • tokenizer.json
    669 kB
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  • tokenizer_config.json
    347 Bytes
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  • train_results.json
    198 Bytes
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  • trainer_state.json
    241 kB
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