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pratikstha
/
kuitm

Token Classification
Transformers
TensorBoard
Safetensors
layoutlm
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use pratikstha/kuitm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use pratikstha/kuitm with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="pratikstha/kuitm")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("pratikstha/kuitm")
    model = AutoModelForTokenClassification.from_pretrained("pratikstha/kuitm")
  • Notebooks
  • Google Colab
  • Kaggle
kuitm / logs
39.6 kB
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  • 1 contributor
History: 1 commit
pratikstha's picture
pratikstha
Training in progress, epoch 1
adf6c1a over 2 years ago
  • events.out.tfevents.1701515784.4312dd3a81e2.2530.1
    11 kB
    xet
    Training in progress, epoch 1 over 2 years ago
  • events.out.tfevents.1701515965.4312dd3a81e2.2530.2
    5.57 kB
    xet
    Training in progress, epoch 1 over 2 years ago
  • events.out.tfevents.1701516471.4312dd3a81e2.2530.3
    5.57 kB
    xet
    Training in progress, epoch 1 over 2 years ago
  • events.out.tfevents.1701516609.4312dd3a81e2.2530.4
    5.57 kB
    xet
    Training in progress, epoch 1 over 2 years ago
  • events.out.tfevents.1701516717.4312dd3a81e2.2530.5
    5.57 kB
    xet
    Training in progress, epoch 1 over 2 years ago
  • events.out.tfevents.1701517266.4312dd3a81e2.2530.6
    6.3 kB
    xet
    Training in progress, epoch 1 over 2 years ago