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Laseung
/
results

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

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

  • Libraries
  • Transformers

    How to use Laseung/results with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Laseung/results")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Laseung/results")
    model = AutoModelForSequenceClassification.from_pretrained("Laseung/results", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
results / runs
34.9 kB
Ctrl+K
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  • 1 contributor
History: 5 commits
Laseung's picture
Laseung
Laseung/roberta-base-klue-ynat-classification
2bef8f1 verified 9 months ago
  • Nov11_05-23-36_29e07234240d
    Laseung/roberta-base-klue-ynat-classification 9 months ago
  • Nov11_07-27-01_29e07234240d
    Laseung/roberta-base-klue-ynat-classification 9 months ago
  • Nov11_07-52-06_29e07234240d
    Laseung/roberta-base-klue-ynat-classification 9 months ago
  • Nov12_03-30-39_4594ddad2c7a
    Laseung/roberta-base-klue-ynat-classification 9 months ago