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voidful
/
part-1100000

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

Instructions to use voidful/part-1100000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use voidful/part-1100000 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="voidful/part-1100000")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("voidful/part-1100000")
    model = AutoModel.from_pretrained("voidful/part-1100000")
  • Notebooks
  • Google Colab
  • Kaggle
part-1100000
561 MB
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  • 1 contributor
History: 7 commits
voidful's picture
voidful
update checkpoint
0019b95 about 4 years ago
  • .gitattributes
    1.18 kB
    initial commit over 4 years ago
  • README.md
    28 Bytes
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  • added_tokens.json
    4.85 kB
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  • config.json
    1.73 kB
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  • merges.txt
    456 kB
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  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    559 MB
    xet
    update checkpoint about 4 years ago
  • special_tokens_map.json
    239 Bytes
    init commit over 4 years ago
  • tokenizer.json
    1.4 MB
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  • tokenizer_config.json
    355 Bytes
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  • vocab.json
    798 kB
    init commit over 4 years ago