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tingchih
/
1023

Text Classification
Transformers
PyTorch
TensorBoard
distilbert
Generated from Trainer
text-embeddings-inference
Model card Files Files and versions
xet
Metrics Training metrics Community
2

Instructions to use tingchih/1023 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use tingchih/1023 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="tingchih/1023")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("tingchih/1023")
    model = AutoModelForSequenceClassification.from_pretrained("tingchih/1023")
  • Notebooks
  • Google Colab
  • Kaggle
1023 / runs
20.5 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
tingchih's picture
tingchih
classification-1023
e750085 over 2 years ago
  • Oct23_10-53-22_vision1.cs.vt.edu
    Training in progress, epoch 1 over 2 years ago
  • Oct23_10-55-56_vision1.cs.vt.edu
    classification-1023 over 2 years ago