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AnonymousCS
/
populism_model234

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_model234 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use AnonymousCS/populism_model234 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="AnonymousCS/populism_model234")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_model234")
    model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_model234")
  • Notebooks
  • Google Colab
  • Kaggle
populism_model234
673 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
AnonymousCS's picture
AnonymousCS
End of training
98c5870 verified over 1 year ago
  • runs
    End of training over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    2.04 kB
    End of training over 1 year ago
  • config.json
    918 Bytes
    Training in progress, epoch 1 over 1 year ago
  • model.safetensors
    669 MB
    xet
    End of training over 1 year ago
  • special_tokens_map.json
    695 Bytes
    Training in progress, epoch 1 over 1 year ago
  • tokenizer.json
    2.56 MB
    Training in progress, epoch 1 over 1 year ago
  • tokenizer_config.json
    1.41 kB
    Training in progress, epoch 1 over 1 year ago
  • training_args.bin
    5.37 kB
    xet
    Training in progress, epoch 1 over 1 year ago
  • vocab.txt
    872 kB
    Training in progress, epoch 1 over 1 year ago