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blackbird
/
alberta-base-mnli-v1

Text Classification
Transformers
PyTorch
roberta
Model card Files Files and versions
xet
Community
1

Instructions to use blackbird/alberta-base-mnli-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use blackbird/alberta-base-mnli-v1 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="blackbird/alberta-base-mnli-v1")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("blackbird/alberta-base-mnli-v1")
    model = AutoModelForSequenceClassification.from_pretrained("blackbird/alberta-base-mnli-v1")
  • Notebooks
  • Google Colab
  • Kaggle
alberta-base-mnli-v1
500 MB
Ctrl+K
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  • 2 contributors
History: 3 commits
blackbird's picture
blackbird
Create README.md
d1ad748 about 5 years ago
  • .gitattributes
    690 Bytes
    initial commit about 5 years ago
  • README.md
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  • config.json
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  • merges.txt
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  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    499 MB
    xet
    add file about 5 years ago
  • special_tokens_map.json
    239 Bytes
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  • tokenizer_config.json
    255 Bytes
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  • vocab.json
    798 kB
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