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AnonymousCS
/
populism_classifier_006

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

Instructions to use AnonymousCS/populism_classifier_006 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use AnonymousCS/populism_classifier_006 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_006")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_006")
    model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_006")
  • Notebooks
  • Google Colab
  • Kaggle
populism_classifier_006
715 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
AnonymousCS's picture
AnonymousCS
End of training
fac842f verified 9 months ago
  • runs
    End of training 9 months ago
  • .gitattributes
    1.52 kB
    initial commit 9 months ago
  • README.md
    2.15 kB
    End of training 9 months ago
  • config.json
    843 Bytes
    End of training 9 months ago
  • model.safetensors
    711 MB
    xet
    End of training 9 months ago
  • special_tokens_map.json
    125 Bytes
    End of training 9 months ago
  • tokenizer.json
    2.92 MB
    End of training 9 months ago
  • tokenizer_config.json
    1.22 kB
    End of training 9 months ago
  • training_args.bin
    5.78 kB
    xet
    End of training 9 months ago
  • vocab.txt
    996 kB
    End of training 9 months ago