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npc-engine
/
deberta-v3-small-finetuned-hate_speech18

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

Instructions to use npc-engine/deberta-v3-small-finetuned-hate_speech18 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use npc-engine/deberta-v3-small-finetuned-hate_speech18 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="npc-engine/deberta-v3-small-finetuned-hate_speech18")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("npc-engine/deberta-v3-small-finetuned-hate_speech18")
    model = AutoModelForSequenceClassification.from_pretrained("npc-engine/deberta-v3-small-finetuned-hate_speech18")
  • Notebooks
  • Google Colab
  • Kaggle
deberta-v3-small-finetuned-hate_speech18
579 MB
Ctrl+K
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  • 2 contributors
History: 2 commits
baasfasfasfasf's picture
baasfasfasfasf
Initial
bb55f52 over 3 years ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • README.md
    21 Bytes
    initial commit over 3 years ago
  • added_tokens.json
    23 Bytes
    Initial over 3 years ago
  • config.json
    1.09 kB
    Initial over 3 years ago
  • model.onnx
    568 MB
    xet
    Initial over 3 years ago
  • special_tokens_map.json
    173 Bytes
    Initial over 3 years ago
  • spm.model
    2.46 MB
    xet
    Initial over 3 years ago
  • tokenizer.json
    8.66 MB
    Initial over 3 years ago
  • tokenizer_config.json
    481 Bytes
    Initial over 3 years ago