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vinai
/
bartpho-word-base

Feature Extraction
Transformers
PyTorch
mbart
Model card Files Files and versions
xet
Community
7

Instructions to use vinai/bartpho-word-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use vinai/bartpho-word-base with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="vinai/bartpho-word-base")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("vinai/bartpho-word-base")
    model = AutoModel.from_pretrained("vinai/bartpho-word-base")
  • Notebooks
  • Google Colab
  • Kaggle
bartpho-word-base
1.21 GB
Ctrl+K
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  • 1 contributor
History: 9 commits
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model
f4bc4f6 over 3 years ago
  • .gitattributes
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  • README.md
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  • __init__.py
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  • bpe.codes
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  • config.json
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  • model.safetensors
    600 MB
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  • pytorch_model.bin
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  • tokenization_phobert.py
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  • tokenization_phobert_fast.py
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  • tokenizer.json
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  • vocab.txt
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