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pingzhili
/
switch-base-32-finetuned-multirc

Transformers
PyTorch
switch_transformers
text2text-generation
Model card Files Files and versions
xet
Community

Instructions to use pingzhili/switch-base-32-finetuned-multirc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use pingzhili/switch-base-32-finetuned-multirc with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("pingzhili/switch-base-32-finetuned-multirc")
    model = AutoModelForSeq2SeqLM.from_pretrained("pingzhili/switch-base-32-finetuned-multirc")
  • Notebooks
  • Google Colab
  • Kaggle
switch-base-32-finetuned-multirc
3.96 GB
Ctrl+K
Ctrl+K
  • 3 contributors
History: 4 commits
Phando's picture
Phando
Update README.md
2008ed7 over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    142 Bytes
    Update README.md over 2 years ago
  • config.json
    1.19 kB
    init over 2 years ago
  • generation_config.json
    142 Bytes
    init over 2 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

    • "collections.OrderedDict",
    • "torch.FloatStorage",
    • "torch.BFloat16Storage",
    • "torch._utils._rebuild_tensor_v2"

    What is a pickle import?

    3.96 GB
    xet
    init over 2 years ago
  • special_tokens_map.json
    2.2 kB
    init over 2 years ago
  • tokenizer.json
    2.42 MB
    init over 2 years ago
  • tokenizer_config.json
    2.32 kB
    init over 2 years ago