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vinai
/
bartpho-word

Feature Extraction
Transformers
PyTorch
google-tensorflow TensorFlow
mbart
Model card Files Files and versions
xet
Community
3

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

  • Libraries
  • Transformers

    How to use vinai/bartpho-word with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="vinai/bartpho-word")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("vinai/bartpho-word")
    model = AutoModel.from_pretrained("vinai/bartpho-word")
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
bartpho-word
3.37 GB
Ctrl+K
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  • 1 contributor
History: 7 commits
dqnguyen's picture
dqnguyen
Update README.md
bee56ed verified over 1 year ago
  • .gitattributes
    1.18 kB
    initial commit over 4 years ago
  • README.md
    1.38 kB
    Update README.md over 1 year ago
  • __init__.py
    0 Bytes
    Upload 3 files over 3 years ago
  • bpe.codes
    1.14 MB
    Upload bartpho-word over 4 years ago
  • config.json
    897 Bytes
    Update config.json almost 4 years ago
  • pytorch_model.bin
    1.68 GB
    xet
    Upload bartpho-word over 4 years ago
  • tf_model.h5
    1.68 GB
    xet
    Upload bartpho-word over 4 years ago
  • tokenization_phobert.py
    14.8 kB
    Upload 3 files over 3 years ago
  • tokenization_phobert_fast.py
    12.7 kB
    Upload 3 files over 3 years ago
  • tokenizer.json
    3.13 MB
    Upload tokenizer.json almost 4 years ago
  • vocab.txt
    895 kB
    Upload bartpho-word over 4 years ago