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selsar
/
social_deviance

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

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

  • Libraries
  • Transformers

    How to use selsar/social_deviance with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="selsar/social_deviance")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("selsar/social_deviance")
    model = AutoModelForSequenceClassification.from_pretrained("selsar/social_deviance")
  • Notebooks
  • Google Colab
  • Kaggle
social_deviance
1.14 GB
Ctrl+K
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  • 1 contributor
History: 4 commits
selsar's picture
selsar
Upload DebertaV2ForSequenceClassification
32e1dab verified 7 months ago
  • .gitattributes
    1.57 kB
    Upload tokenizer 8 months ago
  • README.md
    5.17 kB
    Upload DebertaV2ForSequenceClassification 8 months ago
  • added_tokens.json
    23 Bytes
    Upload tokenizer 8 months ago
  • config.json
    1.03 kB
    Upload DebertaV2ForSequenceClassification 8 months ago
  • model.safetensors
    1.12 GB
    xet
    Upload DebertaV2ForSequenceClassification 7 months ago
  • special_tokens_map.json
    970 Bytes
    Upload tokenizer 8 months ago
  • spm.model
    4.31 MB
    xet
    Upload tokenizer 8 months ago
  • tokenizer.json
    16.3 MB
    xet
    Upload tokenizer 8 months ago
  • tokenizer_config.json
    1.26 kB
    Upload tokenizer 8 months ago