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Trong-Nghia
/
roberta-large-detect-dep-v3

Text Classification
Transformers
PyTorch
TensorBoard
roberta
Generated from Trainer
text-embeddings-inference
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use Trong-Nghia/roberta-large-detect-dep-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Trong-Nghia/roberta-large-detect-dep-v3 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Trong-Nghia/roberta-large-detect-dep-v3")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Trong-Nghia/roberta-large-detect-dep-v3")
    model = AutoModelForSequenceClassification.from_pretrained("Trong-Nghia/roberta-large-detect-dep-v3")
  • Notebooks
  • Google Colab
  • Kaggle
roberta-large-detect-dep-v3 / runs
9.79 kB
Ctrl+K
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  • 1 contributor
History: 5 commits
Trong-Nghia's picture
Trong-Nghia
Training in progress, step 500
86fe829 almost 3 years ago
  • Jul13_04-05-02_493a8595e986
    Training in progress, step 2000 almost 3 years ago
  • Jul21_00-30-06_928770915f31
    Training in progress, step 500 almost 3 years ago