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Ludo33
/
e5_Eau_v3

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

Instructions to use Ludo33/e5_Eau_v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Ludo33/e5_Eau_v3 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Ludo33/e5_Eau_v3")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Ludo33/e5_Eau_v3")
    model = AutoModelForSequenceClassification.from_pretrained("Ludo33/e5_Eau_v3")
  • Notebooks
  • Google Colab
  • Kaggle
e5_Eau_v3
2.26 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 10 commits
Ludo33's picture
Ludo33
End of training
4acb016 verified about 1 year ago
  • .gitattributes
    1.57 kB
    End of training about 1 year ago
  • README.md
    2.16 kB
    End of training about 1 year ago
  • config.json
    1.27 kB
    Training in progress, epoch 0 about 1 year ago
  • model.safetensors
    2.24 GB
    xet
    End of training about 1 year ago
  • sentencepiece.bpe.model
    5.07 MB
    xet
    End of training about 1 year ago
  • special_tokens_map.json
    964 Bytes
    End of training about 1 year ago
  • tokenizer.json
    17.1 MB
    xet
    End of training about 1 year ago
  • tokenizer_config.json
    1.21 kB
    End of training about 1 year ago
  • training_args.bin
    5.3 kB
    xet
    Training in progress, epoch 0 about 1 year ago