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vinai
/
bartpho-syllable-base

Feature Extraction
Transformers
PyTorch
mbart
Model card Files Files and versions
xet
Community
3

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

  • Libraries
  • Transformers

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

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="vinai/bartpho-syllable-base")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("vinai/bartpho-syllable-base")
    model = AutoModel.from_pretrained("vinai/bartpho-syllable-base")
  • Notebooks
  • Google Colab
  • Kaggle
bartpho-syllable-base
535 MB
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  • 1 contributor
History: 10 commits
dqnguyen's picture
dqnguyen
Update README.md
83024e8 verified over 1 year ago
  • .gitattributes
    1.34 kB
    initial commit over 3 years ago
  • README.md
    1 kB
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  • __init__.py
    0 Bytes
    Upload 3 files over 3 years ago
  • config.json
    898 Bytes
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  • dict.txt
    360 kB
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  • pytorch_model.bin

    Detected Pickle imports (3)

    • "collections.OrderedDict",
    • "torch._utils._rebuild_tensor_v2",
    • "torch.FloatStorage"

    What is a pickle import?

    526 MB
    xet
    Upload model over 3 years ago
  • sentencepiece.bpe.model
    5.07 MB
    xet
    Upload sentencepiece.bpe.model over 3 years ago
  • tokenization_bartpho.py
    14.2 kB
    Upload 3 files over 3 years ago
  • tokenization_bartpho_fast.py
    13.6 kB
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  • tokenizer.json
    2.83 MB
    Upload tokenizer.json over 3 years ago