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zgpu-ai
/
zlm-v1-moderation-edge

Text Classification
ONNX
Transformers.js
English
deberta
content-moderation
text-moderation
safety
toxicity
multi-label-classification
quantized
on-device
Model card Files Files and versions
xet
Community

Instructions to use zgpu-ai/zlm-v1-moderation-edge with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers.js

    How to use zgpu-ai/zlm-v1-moderation-edge with Transformers.js:

    // npm i @huggingface/transformers
    import { pipeline } from '@huggingface/transformers';
    
    // Allocate pipeline
    const pipe = await pipeline('text-classification', 'zgpu-ai/zlm-v1-moderation-edge');
zlm-v1-moderation-edge
187 MB
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  • 1 contributor
History: 4 commits
nemanja-igic's picture
nemanja-igic
v6: retrained on real chat traffic (int8 edge bundle + v6 calibration)
5bc79ed verified 8 days ago
  • onnx
    v6: retrained on real chat traffic (int8 edge bundle + v6 calibration) 8 days ago
  • .gitattributes
    1.52 kB
    initial commit 21 days ago
  • LICENSE
    1.87 kB
    Initial release (private): on-device calibrated moderation model 21 days ago
  • README.md
    16.8 kB
    v6: retrained on real chat traffic (int8 edge bundle + v6 calibration) 8 days ago
  • config.json
    2.01 kB
    v6: retrained on real chat traffic (int8 edge bundle + v6 calibration) 8 days ago
  • postprocess.json
    21.3 kB
    v6: retrained on real chat traffic (int8 edge bundle + v6 calibration) 8 days ago
  • tokenizer.json
    1.51 MB
    Initial release (private): on-device calibrated moderation model 21 days ago
  • tokenizer_config.json
    651 Bytes
    Initial release (private): on-device calibrated moderation model 21 days ago