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VictorYeste
/
value-context-rag-deberta-v3-base-doc-rag

Text Classification
Transformers
Safetensors
English
deberta-v2
deberta-v3
human value detection
schwartz values
moral values
political text
retrieval augmented classification
rag
multi-label classification
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use VictorYeste/value-context-rag-deberta-v3-base-doc-rag with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use VictorYeste/value-context-rag-deberta-v3-base-doc-rag with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="VictorYeste/value-context-rag-deberta-v3-base-doc-rag")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("VictorYeste/value-context-rag-deberta-v3-base-doc-rag")
    model = AutoModelForSequenceClassification.from_pretrained("VictorYeste/value-context-rag-deberta-v3-base-doc-rag")
  • Notebooks
  • Google Colab
  • Kaggle
value-context-rag-deberta-v3-base-doc-rag
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  • 1 contributor
History: 4 commits
VictorYeste's picture
VictorYeste
Update README.md
b662714 verified 1 day ago
  • .gitattributes
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  • README.md
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  • config.json
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  • label_names.json
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  • model.safetensors
    738 MB
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  • special_tokens_map.json
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  • spm.model
    2.46 MB
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  • tokenizer.json
    8.34 MB
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  • tokenizer_config.json
    509 Bytes
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  • training_args.bin

    Pickle imports

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