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briverse
/
vi-electra-large-uncased

Transformers
PyTorch
electra
pretraining
Model card Files Files and versions
xet
Community
1

Instructions to use briverse/vi-electra-large-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use briverse/vi-electra-large-uncased with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForPreTraining
    
    tokenizer = AutoTokenizer.from_pretrained("briverse/vi-electra-large-uncased")
    model = AutoModelForPreTraining.from_pretrained("briverse/vi-electra-large-uncased")
  • Notebooks
  • Google Colab
  • Kaggle
vi-electra-large-uncased
1.48 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
briverse's picture
briverse
pad token id 0 -> 3
645b2ef over 5 years ago
  • .gitattributes
    690 Bytes
    initial commit over 5 years ago
  • config.json
    468 Bytes
    pad token id 0 -> 3 over 5 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    1.48 GB
    xet
    add model, tokenizer over 5 years ago
  • tokenizer.json
    1.59 MB
    edit tokenizer, vocab over 5 years ago
  • vocab.txt
    575 kB
    edit tokenizer, vocab over 5 years ago