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pengold
/
distilbert-base-vietnamese-case

Fill-Mask
Transformers
PyTorch
distilbert
Generated from Trainer
Model card Files Files and versions
xet
Community
2

Instructions to use pengold/distilbert-base-vietnamese-case with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use pengold/distilbert-base-vietnamese-case with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="pengold/distilbert-base-vietnamese-case")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("pengold/distilbert-base-vietnamese-case")
    model = AutoModelForMaskedLM.from_pretrained("pengold/distilbert-base-vietnamese-case", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
distilbert-base-vietnamese-case
264 MB
Ctrl+K
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  • 1 contributor
History: 31 commits
pengold's picture
pengold
End of training
4b0a4b6 about 3 years ago
  • .gitattributes
    1.52 kB
    initial commit about 3 years ago
  • README.md
    2.76 kB
    End of training about 3 years ago
  • config.json
    573 Bytes
    Training in progress, step 500 about 3 years ago
  • pytorch_model.bin
    263 MB
    xet
    End of training about 3 years ago
  • special_tokens_map.json
    125 Bytes
    Training in progress, step 500 about 3 years ago
  • tokenizer.json
    598 kB
    Training in progress, step 500 about 3 years ago
  • tokenizer_config.json
    321 Bytes
    Training in progress, step 500 about 3 years ago
  • training_args.bin
    4.03 kB
    xet
    Training in progress, epoch 1 about 3 years ago
  • vocab.txt
    143 kB
    Training in progress, step 500 about 3 years ago