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hungphongtrn
/
videberta-base

Token Classification
Transformers
PyTorch
TensorBoard
Safetensors
deberta-v2
Model card Files Files and versions
xet
Metrics Training metrics Community

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

  • Libraries
  • Transformers

    How to use hungphongtrn/videberta-base with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="hungphongtrn/videberta-base")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("hungphongtrn/videberta-base")
    model = AutoModelForTokenClassification.from_pretrained("hungphongtrn/videberta-base")
  • Notebooks
  • Google Colab
  • Kaggle
videberta-base / runs
172 kB
Ctrl+K
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  • 2 contributors
History: 30 commits

This model has 1 file scanned as unsafe.

hungphongtrn's picture
hungphongtrn
Training in progress, epoch 8
505ca36 almost 2 years ago
  • May27_16-37-00_lab2
    Training in progress, epoch 1 almost 2 years ago
  • May27_16-40-42_lab2
    Training in progress, epoch 1 almost 2 years ago
  • May27_16-42-51_lab2
    Training in progress, epoch 1 almost 2 years ago
  • May27_16-43-32_lab2
    Training in progress, epoch 1 almost 2 years ago
  • May27_16-45-29_lab2
    Training in progress, epoch 1 almost 2 years ago
  • May27_16-46-09_lab2
    Training in progress, epoch 47 almost 2 years ago
  • May28_16-14-45_labserver
    Training in progress, epoch 49 almost 2 years ago
  • May29_06-00-37_labserver
    Training in progress, epoch 8 almost 2 years ago