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airesearch
/
wangchanbart-large

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

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

  • Libraries
  • Transformers

    How to use airesearch/wangchanbart-large with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="airesearch/wangchanbart-large")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("airesearch/wangchanbart-large")
    model = AutoModel.from_pretrained("airesearch/wangchanbart-large")
  • Notebooks
  • Google Colab
  • Kaggle
wangchanbart-large
1.65 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
lalital's picture
lalital
artifact: Add pre-trained weight and vocab files
0f96fcf almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • README.md
    24 Bytes
    initial commit almost 2 years ago
  • config.json
    1.65 kB
    conf: Add config almost 2 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    1.65 GB
    xet
    artifact: Add pre-trained weight and vocab files almost 2 years ago
  • sentencepiece.bpe.model
    1.54 MB
    xet
    artifact: Add pre-trained weight and vocab files almost 2 years ago
  • sentencepiece.bpe.vocab
    964 kB
    xet
    artifact: Add pre-trained weight and vocab files almost 2 years ago
  • tokenizer_config.json
    468 Bytes
    conf: Add config almost 2 years ago