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LordCoffee
/
bert-base-cased-cefr

Token Classification
Transformers
PyTorch
English
bert
text-classification
code
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use LordCoffee/bert-base-cased-cefr with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="LordCoffee/bert-base-cased-cefr")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("LordCoffee/bert-base-cased-cefr")
    model = AutoModelForSequenceClassification.from_pretrained("LordCoffee/bert-base-cased-cefr")
  • Notebooks
  • Google Colab
  • Kaggle
bert-base-cased-cefr
434 MB
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  • 1 contributor
History: 3 commits
LordCoffee's picture
LordCoffee
Upload pytorch_model.bin
41e3ecd verified almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • README.md
    1.77 kB
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  • config.json
    932 Bytes
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  • gitattributes
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  • pytorch_model.bin
    433 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
    315 Bytes
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  • training_args .bin
    3.96 kB
    xet
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  • vocab.txt
    213 kB
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