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madgnome
/
nameattrsdeberta

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

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

  • Libraries
  • Transformers

    How to use madgnome/nameattrsdeberta with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="madgnome/nameattrsdeberta")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("madgnome/nameattrsdeberta")
    model = AutoModelForSequenceClassification.from_pretrained("madgnome/nameattrsdeberta")
  • Notebooks
  • Google Colab
  • Kaggle
nameattrsdeberta
1.14 GB
Ctrl+K
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  • 1 contributor
History: 3 commits
madgnome's picture
madgnome
Upload tokenizer
1a67d28 verified over 1 year ago
  • .gitattributes
    1.57 kB
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  • README.md
    5.17 kB
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  • added_tokens.json
    23 Bytes
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  • config.json
    999 Bytes
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  • model.safetensors
    1.12 GB
    xet
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  • special_tokens_map.json
    970 Bytes
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  • spm.model
    4.31 MB
    xet
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  • tokenizer.json
    16.3 MB
    xet
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  • tokenizer_config.json
    19.7 kB
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