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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
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Adding `safetensors` variant of this model

#7 opened over 1 year ago by
SFconvertbot

[AUTOMATED] Model Memory Requirements

#6 opened about 2 years ago by
model-sizer-bot

[AUTOMATED] Model Memory Requirements

#5 opened about 2 years ago by
model-sizer-bot

[AUTOMATED] Model Memory Requirements

#4 opened about 2 years ago by
model-sizer-bot

[AUTOMATED] Model Memory Requirements

#3 opened about 2 years ago by
model-sizer-bot

Adding `safetensors` variant of this model

#2 opened about 3 years ago by
SFconvertbot

Update README.md

#1 opened over 3 years ago by
lbourdois
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