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salts-models
/
intent

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

Instructions to use salts-models/intent with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use salts-models/intent with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="salts-models/intent")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("salts-models/intent")
    model = AutoModelForSequenceClassification.from_pretrained("salts-models/intent")
  • Notebooks
  • Google Colab
  • Kaggle
intent
740 MB
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  • 1 contributor
History: 3 commits
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salts-models
Upload DebertaV2ForSequenceClassification
eb958f1 verified 12 months ago
  • .gitattributes
    1.52 kB
    initial commit 12 months ago
  • README.md
    5.17 kB
    Upload tokenizer 12 months ago
  • added_tokens.json
    23 Bytes
    Upload tokenizer 12 months ago
  • config.json
    1 kB
    Upload DebertaV2ForSequenceClassification 12 months ago
  • model.safetensors
    738 MB
    xet
    Upload DebertaV2ForSequenceClassification 12 months ago
  • special_tokens_map.json
    286 Bytes
    Upload tokenizer 12 months ago
  • spm.model
    2.46 MB
    xet
    Upload tokenizer 12 months ago
  • tokenizer_config.json
    1.32 kB
    Upload tokenizer 12 months ago