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jeergrvgreg
/
uplifting-filter-v5

Text Classification
Transformers
Safetensors
English
content-filtering
multi-dimensional-scoring
knowledge-distillation
Model card Files Files and versions
xet
Community

Instructions to use jeergrvgreg/uplifting-filter-v5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use jeergrvgreg/uplifting-filter-v5 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="jeergrvgreg/uplifting-filter-v5")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("jeergrvgreg/uplifting-filter-v5", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
uplifting-filter-v5
89.8 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 9 commits
jeergrvgreg's picture
jeergrvgreg
license: model-card YAML frontmatter MIT -> EUPL-1.2 (source repo relicensed 2026-05-18; ducroq/llm-distillery#65)
fa2002e verified about 2 hours ago
  • .gitattributes
    1.57 kB
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  • README.md
    4.43 kB
    license: model-card YAML frontmatter MIT -> EUPL-1.2 (source repo relicensed 2026-05-18; ducroq/llm-distillery#65) about 2 hours ago
  • adapter_config.json
    989 Bytes
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  • adapter_model.safetensors
    73.9 MB
    xet
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  • added_tokens.json
    605 Bytes
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  • chat_template.jinja
    2.43 kB
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  • merges.txt
    1.67 MB
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  • special_tokens_map.json
    616 Bytes
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  • tokenizer.json
    11.4 MB
    xet
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  • tokenizer_config.json
    4.69 kB
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  • training_history.json
    4.67 kB
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  • training_metadata.json
    646 Bytes
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  • vocab.json
    2.78 MB
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