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AdapterHub
/
xmod-base

Transformers
PyTorch
xmod
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use AdapterHub/xmod-base with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("AdapterHub/xmod-base")
    model = AutoModel.from_pretrained("AdapterHub/xmod-base")
  • Notebooks
  • Google Colab
  • Kaggle
xmod-base
2.28 GB
Ctrl+K
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  • 1 contributor
History: 3 commits
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model
492f86f verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • config.json
    3.13 kB
    Upload model over 2 years ago
  • generation_config.json
    132 Bytes
    Upload model over 2 years ago
  • model.safetensors
    1.14 GB
    xet
    Adding `safetensors` variant of this model over 1 year ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    1.14 GB
    xet
    Upload model over 2 years ago