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Defensa2025
/
C2BETO4060

Text Classification
Transformers
TensorBoard
Safetensors
bert
Trained with AutoTrain
text-embeddings-inference
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use Defensa2025/C2BETO4060 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Defensa2025/C2BETO4060 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Defensa2025/C2BETO4060")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Defensa2025/C2BETO4060")
    model = AutoModelForSequenceClassification.from_pretrained("Defensa2025/C2BETO4060", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
C2BETO4060 / runs
9.43 kB
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  • 1 contributor
History: 3 commits
Iosvanny's picture
Iosvanny
Upload folder using huggingface_hub
766d006 verified 12 months ago
  • Oct02_02-21-42_r-iosvanny-textclassif3-ruee3ohl-6d2eb-5srar
    Upload folder using huggingface_hub 12 months ago