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Ludo33
/
e5_RSE_MultiLabel_08092025

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

Instructions to use Ludo33/e5_RSE_MultiLabel_08092025 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Ludo33/e5_RSE_MultiLabel_08092025 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Ludo33/e5_RSE_MultiLabel_08092025")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Ludo33/e5_RSE_MultiLabel_08092025")
    model = AutoModelForSequenceClassification.from_pretrained("Ludo33/e5_RSE_MultiLabel_08092025")
  • Notebooks
  • Google Colab
  • Kaggle
e5_RSE_MultiLabel_08092025 / runs
66.9 kB
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  • 1 contributor
History: 68 commits
Ludo33's picture
Ludo33
End of training
cdcee80 verified 8 months ago
  • Sep08_13-10-50_5979e6e21c9f
    Training in progress, epoch 9 9 months ago
  • Sep08_15-24-03_c9c68db2a170
    Training in progress, epoch 4 9 months ago
  • Sep08_15-45-57_ae769a2ab4b7
    Training in progress, epoch 14 9 months ago
  • Sep09_07-01-03_ad9be7662ebf
    End of training 9 months ago
  • Sep10_09-08-15_1b80ce3f2b66
    End of training 8 months ago