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AlanLiJHU
/
MLMA_Lab5_Task2

Token Classification
Transformers
TensorBoard
Safetensors
gpt2
text-generation-inference
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use AlanLiJHU/MLMA_Lab5_Task2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use AlanLiJHU/MLMA_Lab5_Task2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="AlanLiJHU/MLMA_Lab5_Task2")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("AlanLiJHU/MLMA_Lab5_Task2")
    model = AutoModelForTokenClassification.from_pretrained("AlanLiJHU/MLMA_Lab5_Task2")
  • Notebooks
  • Google Colab
  • Kaggle
MLMA_Lab5_Task2
1.39 GB
Ctrl+K
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  • 1 contributor
History: 6 commits
AlanLiJHU's picture
AlanLiJHU
Training in progress, epoch 5
88d742a verified about 2 years ago
  • runs
    Training in progress, epoch 5 about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • config.json
    1.19 kB
    Training in progress, epoch 1 about 2 years ago
  • merges.txt
    456 kB
    Training in progress, epoch 1 about 2 years ago
  • model.safetensors
    1.39 GB
    xet
    Training in progress, epoch 5 about 2 years ago
  • special_tokens_map.json
    119 Bytes
    Training in progress, epoch 1 about 2 years ago
  • tokenizer_config.json
    924 Bytes
    Training in progress, epoch 1 about 2 years ago
  • training_args.bin
    4.86 kB
    xet
    Training in progress, epoch 1 about 2 years ago
  • vocab.json
    927 kB
    Training in progress, epoch 1 about 2 years ago