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airesearch
/
wangchanbart-base

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

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

  • Libraries
  • Transformers

    How to use airesearch/wangchanbart-base with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="airesearch/wangchanbart-base")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("airesearch/wangchanbart-base")
    model = AutoModel.from_pretrained("airesearch/wangchanbart-base")
  • Notebooks
  • Google Colab
  • Kaggle
wangchanbart-base
1.15 GB
Ctrl+K
Ctrl+K
  • 3 contributors
History: 4 commits
wannaphong's picture
wannaphong
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model (#1)
499baa6 19 days ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • README.md
    24 Bytes
    initial commit almost 2 years ago
  • config.json
    1.71 kB
    conf: Add config almost 2 years ago
  • model.safetensors
    573 MB
    xet
    Adding `safetensors` variant of this model (#1) 19 days ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    573 MB
    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