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Fsoft-AIC
/
videberta-xsmall

Token Classification
Transformers
PyTorch
Vietnamese
deberta-v2
transformer
vietnamese
nlp
bert
deberta
deberta-v3
Model card Files Files and versions
xet
Community
1

Instructions to use Fsoft-AIC/videberta-xsmall with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Fsoft-AIC/videberta-xsmall with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="Fsoft-AIC/videberta-xsmall")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("Fsoft-AIC/videberta-xsmall", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
videberta-xsmall
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  • 1 contributor
History: 5 commits
Aehus's picture
Aehus
Upload pytorch_model.bin
029b6b1 about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • README.md
    1.88 kB
    Upload 6 files about 3 years ago
  • config.json
    609 Bytes
    Rename model_config.json to config.json about 3 years ago
  • pytorch_model.bin
    241 MB
    xet
    Upload pytorch_model.bin about 3 years ago
  • special_tokens_map.json
    173 Bytes
    Upload 6 files about 3 years ago
  • tokenizer.json
    8.49 MB
    Upload 6 files about 3 years ago
  • tokenizer_config.json
    401 Bytes
    Upload 6 files about 3 years ago