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katzenbach
/
testMetaphor4

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 katzenbach/testMetaphor4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use katzenbach/testMetaphor4 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="katzenbach/testMetaphor4")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("katzenbach/testMetaphor4")
    model = AutoModelForSequenceClassification.from_pretrained("katzenbach/testMetaphor4")
  • Notebooks
  • Google Colab
  • Kaggle
testMetaphor4
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  • 1 contributor
History: 3 commits
katzenbach's picture
katzenbach
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  • .gitattributes
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  • README.md
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  • config.json
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  • model.safetensors
    438 MB
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  • special_tokens_map.json
    125 Bytes
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  • tokenizer.json
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  • tokenizer_config.json
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  • training_args.bin
    4.6 kB
    xet
    testMetaphor4 over 2 years ago
  • vocab.txt
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