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Mikask
/
roberta-base-mr-6000ar

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

Instructions to use Mikask/roberta-base-mr-6000ar with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Mikask/roberta-base-mr-6000ar with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Mikask/roberta-base-mr-6000ar")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Mikask/roberta-base-mr-6000ar")
    model = AutoModelForSequenceClassification.from_pretrained("Mikask/roberta-base-mr-6000ar", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
roberta-base-mr-6000ar / runs
20.4 kB
Ctrl+K
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  • 1 contributor
History: 7 commits
Mikask's picture
Mikask
Training in progress, epoch 3
2e026df verified over 2 years ago
  • Apr27_19-07-38_156d5fa963a7
    Training in progress, epoch 1 over 2 years ago
  • Apr28_02-00-09_7ab17f5f67f9
    End of training over 2 years ago
  • Apr28_06-54-29_77e57eec2044
    Training in progress, epoch 3 over 2 years ago