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Aktsvigun
/
deberta_cola_2

Text Classification
Transformers
PyTorch
deberta-v2
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

Instructions to use Aktsvigun/deberta_cola_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Aktsvigun/deberta_cola_2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Aktsvigun/deberta_cola_2")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Aktsvigun/deberta_cola_2")
    model = AutoModelForSequenceClassification.from_pretrained("Aktsvigun/deberta_cola_2", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle

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  • .gitattributes
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  • added_tokens.json
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  • config.json
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  • special_tokens_map.json
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  • tokenizer.json
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  • tokenizer_config.json
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