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ericNguyen0132
/
roberta-large-Dep-summarized

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

Instructions to use ericNguyen0132/roberta-large-Dep-summarized with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ericNguyen0132/roberta-large-Dep-summarized with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="ericNguyen0132/roberta-large-Dep-summarized")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("ericNguyen0132/roberta-large-Dep-summarized")
    model = AutoModelForSequenceClassification.from_pretrained("ericNguyen0132/roberta-large-Dep-summarized")
  • Notebooks
  • Google Colab
  • Kaggle
roberta-large-Dep-summarized / runs
11.3 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
ericNguyen0132's picture
ericNguyen0132
Training in progress, step 1000
afc23b7 almost 3 years ago
  • Jul27_12-24-44_cc6f788c9d6b
    Training in progress, step 1000 almost 3 years ago