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agi-css
/
distilroberta-base-mic

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 agi-css/distilroberta-base-mic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use agi-css/distilroberta-base-mic with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="agi-css/distilroberta-base-mic")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("agi-css/distilroberta-base-mic")
    model = AutoModelForSequenceClassification.from_pretrained("agi-css/distilroberta-base-mic")
  • Notebooks
  • Google Colab
  • Kaggle
distilroberta-base-mic / runs /Apr23_04-00-18_lambda-server
11.2 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
agi-css's picture
agi-css
Training completed!
6ad5611 about 4 years ago
  • 1650700830.560195
    Training completed! about 4 years ago
  • events.out.tfevents.1650700830.lambda-server.3040501.0
    6.3 kB
    xet
    Training completed! about 4 years ago