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FPTAI
/
vibert-base-cased

Transformers
PyTorch
JAX
bert
Model card Files Files and versions
xet
Community
3

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

  • Libraries
  • Transformers

    How to use FPTAI/vibert-base-cased with Transformers:

    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("FPTAI/vibert-base-cased", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
vibert-base-cased
1.04 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 8 commits
phucdev's picture
phucdev
Create README.md
d5177f6 verified almost 2 years ago
  • .gitattributes
    437 Bytes
    allow flax about 5 years ago
  • README.md
    2.43 kB
    Create README.md almost 2 years ago
  • config.json
    1.4 kB
    Update config.json over 5 years ago
  • flax_model.msgpack
    461 MB
    xet
    upload flax model about 5 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    581 MB
    xet
    Update pytorch_model.bin over 5 years ago
  • vocab.txt
    255 kB
    Update vocab.txt over 5 years ago