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hul0
/
shuddhi-base-onnx-int8

Text Classification
Transformers
ONNX
English
bert
toxic
moderation
safety
content-moderation
quantized
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use hul0/shuddhi-base-onnx-int8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use hul0/shuddhi-base-onnx-int8 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="hul0/shuddhi-base-onnx-int8")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("hul0/shuddhi-base-onnx-int8")
    model = AutoModelForSequenceClassification.from_pretrained("hul0/shuddhi-base-onnx-int8", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
shuddhi-base-onnx-int8
111 MB
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  • 1 contributor
History: 2 commits
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hul0
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  • .gitattributes
    1.52 kB
    initial commit 17 days ago
  • LICENSE
    1.07 kB
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  • README.md
    7.94 kB
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  • config.json
    962 Bytes
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  • model_quantized.onnx
    110 MB
    xet
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  • ort_config.json
    764 Bytes
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  • special_tokens_map.json
    125 Bytes
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  • thresholds.json
    208 Bytes
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  • tokenizer.json
    711 kB
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  • tokenizer_config.json
    1.22 kB
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  • vocab.txt
    232 kB
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