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selsar
/
Socio_Economic_Position

Text Classification
Transformers
Safetensors
deberta-v2
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use selsar/Socio_Economic_Position with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="selsar/Socio_Economic_Position")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("selsar/Socio_Economic_Position")
    model = AutoModelForSequenceClassification.from_pretrained("selsar/Socio_Economic_Position")
  • Notebooks
  • Google Colab
  • Kaggle
Socio_Economic_Position
1.12 GB
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  • 1 contributor
History: 2 commits
selsar's picture
selsar
Upload DebertaV2ForSequenceClassification
c8859a9 verified 7 months ago
  • .gitattributes
    1.52 kB
    initial commit 7 months ago
  • README.md
    5.17 kB
    Upload DebertaV2ForSequenceClassification 7 months ago
  • config.json
    1.03 kB
    Upload DebertaV2ForSequenceClassification 7 months ago
  • model.safetensors
    1.12 GB
    xet
    Upload DebertaV2ForSequenceClassification 7 months ago