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warrior1127
/
hate_roberta_model

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

Instructions to use warrior1127/hate_roberta_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use warrior1127/hate_roberta_model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="warrior1127/hate_roberta_model")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("warrior1127/hate_roberta_model")
    model = AutoModelForSequenceClassification.from_pretrained("warrior1127/hate_roberta_model")
  • Notebooks
  • Google Colab
  • Kaggle
hate_roberta_model / runs
10.3 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
warrior1127's picture
warrior1127
Training in progress, epoch 3
034838e about 3 years ago
  • Feb13_18-51-46_sailvtcs.cs.vt.edu
    Training in progress, epoch 3 about 3 years ago