Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing

  • Log In
  • Sign Up

seiya
/
oubiobert-base-uncased

Transformers
PyTorch
JAX
bert
pretraining
exbert
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use seiya/oubiobert-base-uncased with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForPreTraining
    
    tokenizer = AutoTokenizer.from_pretrained("seiya/oubiobert-base-uncased")
    model = AutoModelForPreTraining.from_pretrained("seiya/oubiobert-base-uncased")
  • Notebooks
  • Google Colab
  • Kaggle
oubiobert-base-uncased
890 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 9 commits
patrickvonplaten's picture
patrickvonplaten
upload flax model
694c027 almost 5 years ago
  • .gitattributes
    391 Bytes
    allow flax almost 5 years ago
  • README.md
    2.5 kB
    Migrate model card from transformers-repo over 5 years ago
  • config.json
    1.02 kB
    Update config.json almost 6 years ago
  • flax_model.msgpack
    445 MB
    xet
    upload flax model almost 5 years ago
  • pytorch_model.bin
    445 MB
    xet
    Update pytorch_model.bin almost 6 years ago
  • special_tokens_map.json
    112 Bytes
    Update special_tokens_map.json almost 6 years ago
  • tokenizer_config.json
    151 Bytes
    Update tokenizer_config.json almost 6 years ago
  • vocab.txt
    253 kB
    Update vocab.txt almost 6 years ago