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byeongal
/
bart-large

Feature Extraction
Transformers
PyTorch
English
bart
Model card Files Files and versions
xet
Community
1

Instructions to use byeongal/bart-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use byeongal/bart-large with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="byeongal/bart-large")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("byeongal/bart-large")
    model = AutoModel.from_pretrained("byeongal/bart-large")
  • Notebooks
  • Google Colab
  • Kaggle
bart-large
1.63 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
byeongal's picture
byeongal
bart-large for teachable-nlp
aead9ca almost 5 years ago
  • .gitattributes
    690 Bytes
    initial commit almost 5 years ago
  • README.md
    1.27 kB
    bart-large for teachable-nlp almost 5 years ago
  • config.json
    1.67 kB
    bart-large for teachable-nlp almost 5 years ago
  • pytorch_model.bin
    1.63 GB
    xet
    bart-large for teachable-nlp almost 5 years ago
  • special_tokens_map.json
    239 Bytes
    bart-large for teachable-nlp almost 5 years ago
  • tokenizer.json
    1.36 MB
    bart-large for teachable-nlp almost 5 years ago
  • tokenizer_config.json
    262 Bytes
    bart-large for teachable-nlp almost 5 years ago