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kwwww
/
bert-base-uncased-test_2_40000

PEFT
PyTorch
Model card Files Files and versions
xet
Community

Instructions to use kwwww/bert-base-uncased-test_2_40000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use kwwww/bert-base-uncased-test_2_40000 with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForSequenceClassification
    
    base_model = AutoModelForSequenceClassification.from_pretrained("bert-base-uncased")
    model = PeftModel.from_pretrained(base_model, "kwwww/bert-base-uncased-test_2_40000")
  • Notebooks
  • Google Colab
  • Kaggle
bert-base-uncased-test_2_40000
440 MB
Ctrl+K
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  • 1 contributor
History: 5 commits
kwwww's picture
kwwww
Upload tokenizer
390a15d over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • .gitignore
    13 Bytes
    End of training over 2 years ago
  • README.md
    93 Bytes
    Upload model over 2 years ago
  • adapter_config.json
    478 Bytes
    Upload model over 2 years ago
  • adapter_model.bin
    766 kB
    xet
    Upload model over 2 years ago
  • pytorch_model.bin
    438 MB
    xet
    End of training over 2 years ago
  • special_tokens_map.json
    125 Bytes
    End of training over 2 years ago
  • tokenizer.json
    711 kB
    End of training over 2 years ago
  • tokenizer_config.json
    342 Bytes
    End of training over 2 years ago
  • training_args.bin
    3.96 kB
    xet
    End of training over 2 years ago
  • vocab.txt
    232 kB
    End of training over 2 years ago