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sxie3333
/
GPT

Text Classification
Transformers
PyTorch
TensorBoard
gpt2
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use sxie3333/GPT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use sxie3333/GPT with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="sxie3333/GPT")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("sxie3333/GPT")
    model = AutoModelForSequenceClassification.from_pretrained("sxie3333/GPT", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle

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Preview of files found in this repository
  • runs
    Training in progress, epoch 1 over 3 years ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • .gitignore
    13 Bytes
    Training in progress, epoch 1 over 3 years ago
  • config.json
    1.19 kB
    Training in progress, epoch 1 over 3 years ago
  • merges.txt
    456 kB
    Training in progress, epoch 1 over 3 years ago
  • pytorch_model.bin
    510 MB
    xet
    Training in progress, epoch 1 over 3 years ago
  • special_tokens_map.json
    131 Bytes
    Training in progress, epoch 1 over 3 years ago
  • tokenizer.json
    2.11 MB
    Training in progress, epoch 1 over 3 years ago
  • tokenizer_config.json
    234 Bytes
    Training in progress, epoch 1 over 3 years ago
  • training_args.bin
    3.58 kB
    xet
    Training in progress, epoch 1 over 3 years ago
  • vocab.json
    798 kB
    Training in progress, epoch 1 over 3 years ago