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KiViDrag
/
model3v3

Text Classification
Transformers
Safetensors
bert
Model card Files Files and versions
xet
Community

Instructions to use KiViDrag/model3v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use KiViDrag/model3v3 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="KiViDrag/model3v3")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("KiViDrag/model3v3")
    model = AutoModelForSequenceClassification.from_pretrained("KiViDrag/model3v3")
  • Notebooks
  • Google Colab
  • Kaggle
model3v3
29.3 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
KiViDrag's picture
KiViDrag
Upload BertForSequenceClassification
16f39e2 verified 12 months ago
  • .gitattributes
    1.52 kB
    initial commit 12 months ago
  • README.md
    5.17 kB
    Upload BertForSequenceClassification 12 months ago
  • config.json
    903 Bytes
    Upload BertForSequenceClassification 12 months ago
  • model.safetensors
    29.3 MB
    xet
    Upload BertForSequenceClassification 12 months ago