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

  • Log In
  • Sign Up

lighthouse
/
mdeberta-v3-base-kor-further

Transformers
PyTorch
deberta-v2
deberta
deberta-v3
mdeberta
korean
pretraining
Model card Files Files and versions
xet
Community
4

Instructions to use lighthouse/mdeberta-v3-base-kor-further with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use lighthouse/mdeberta-v3-base-kor-further with Transformers:

    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("lighthouse/mdeberta-v3-base-kor-further", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
mdeberta-v3-base-kor-further
Ctrl+K
Ctrl+K
  • 3 contributors
History: 39 commits
minkyo's picture
minkyo
Update README.md
2b59c5f almost 3 years ago
  • .gitattributes
    1.34 kB
    initial commit over 3 years ago
  • README.md
    5.11 kB
    Update README.md almost 3 years ago
  • config.json
    578 Bytes
    update config over 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    559 MB
    xet
    upload model file over 3 years ago
  • special_tokens_map.json
    156 Bytes
    Initial commit over 3 years ago
  • spm.model
    4.31 MB
    xet
    Initial commit over 3 years ago
  • tokenizer_config.json
    424 Bytes
    update config over 3 years ago