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pabagcha
/
roberta_crypto_profiling_task1_complete

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

Instructions to use pabagcha/roberta_crypto_profiling_task1_complete with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use pabagcha/roberta_crypto_profiling_task1_complete with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="pabagcha/roberta_crypto_profiling_task1_complete")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("pabagcha/roberta_crypto_profiling_task1_complete")
    model = AutoModelForSequenceClassification.from_pretrained("pabagcha/roberta_crypto_profiling_task1_complete")
  • Notebooks
  • Google Colab
  • Kaggle
roberta_crypto_profiling_task1_complete / runs
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  • 1 contributor
History: 10 commits
pabagcha's picture
pabagcha
End of training
279c0be almost 3 years ago
  • May19_18-34-07_b3d8af137ecf
    End of training almost 3 years ago
  • May21_15-14-26_b9b3998f49fc
    End of training almost 3 years ago