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cartesinus
/
xlm-r-base_leyzer_intent-en

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

Instructions to use cartesinus/xlm-r-base_leyzer_intent-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use cartesinus/xlm-r-base_leyzer_intent-en with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="cartesinus/xlm-r-base_leyzer_intent-en")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("cartesinus/xlm-r-base_leyzer_intent-en")
    model = AutoModelForSequenceClassification.from_pretrained("cartesinus/xlm-r-base_leyzer_intent-en")
  • Notebooks
  • Google Colab
  • Kaggle
xlm-r-base_leyzer_intent-en / runs
27.1 kB
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  • 3 contributors
History: 2 commits
cartesinus's picture
cartesinus
End of training
a7e04db over 3 years ago
  • Jan17_09-25-06_3ee33dff7797
    End of training over 3 years ago