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Theoreticallyhugo
/
test-full_labels

Token Classification
Transformers
Safetensors
gpt2
Generated from Trainer
Eval Results (legacy)
text-generation-inference
Model card Files Files and versions
xet
Community

Instructions to use Theoreticallyhugo/test-full_labels with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Theoreticallyhugo/test-full_labels with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="Theoreticallyhugo/test-full_labels")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Theoreticallyhugo/test-full_labels")
    model = AutoModelForTokenClassification.from_pretrained("Theoreticallyhugo/test-full_labels")
  • Notebooks
  • Google Colab
  • Kaggle
test-full_labels / meta_data
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
Theoreticallyhugo's picture
Theoreticallyhugo
Training in progress, epoch 1
d543e57 verified about 2 years ago
  • README_s42_e5.md
    10.5 kB
    trainer: training complete at 2024-03-03 17:42:24.016498. about 2 years ago
  • meta_s42_e1_cvi0.json
    1.02 kB
    Training in progress, epoch 1 about 2 years ago
  • meta_s42_e2_cvi0.json
    1.06 kB
    Training in progress, epoch 1 about 2 years ago
  • meta_s42_e3_cvi0.json
    1.14 kB
    Training in progress, epoch 1 about 2 years ago
  • meta_s42_e4_cvi0.json
    1.19 kB
    Training in progress, epoch 1 about 2 years ago
  • meta_s42_e5_cvi0.json
    1.14 kB
    Training in progress, epoch 1 about 2 years ago
  • meta_s42_e5_cvi1.json
    1.14 kB
    Training in progress, epoch 1 about 2 years ago