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netaicsco
/
v1.2_classifier

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

Instructions to use netaicsco/v1.2_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use netaicsco/v1.2_classifier with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="netaicsco/v1.2_classifier")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("netaicsco/v1.2_classifier")
    model = AutoModelForSequenceClassification.from_pretrained("netaicsco/v1.2_classifier")
  • Notebooks
  • Google Colab
  • Kaggle
v1.2_classifier / runs
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
netaicsco's picture
netaicsco
netaicsco/v1.2_classifier
988eb03 verified 11 months ago
  • Jun14_18-16-50_744755d94fda
    netaicsco/v1.2_classifier 11 months ago