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nickagge
/
paladin-improved

Text Classification
PEFT
Safetensors
Transformers
lora
sentiment-analysis
paladim
continual-learning
Model card Files Files and versions
xet
Community

Instructions to use nickagge/paladin-improved with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use nickagge/paladin-improved with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForSequenceClassification
    
    base_model = AutoModelForSequenceClassification.from_pretrained("prajjwal1/bert-tiny")
    model = PeftModel.from_pretrained(base_model, "nickagge/paladin-improved")
  • Transformers

    How to use nickagge/paladin-improved with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="nickagge/paladin-improved")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("nickagge/paladin-improved", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
paladin-improved
1.16 MB
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  • 1 contributor
History: 3 commits
nickagge's picture
nickagge
Upload 7 files
0bc0d15 verified 5 months ago
  • images
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  • .gitattributes
    2.31 kB
    initial commit 5 months ago
  • README.md
    4.99 kB
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  • adapter_config.json
    1.05 kB
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  • adapter_model.safetensors
    52 kB
    xet
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  • special_tokens_map.json
    132 Bytes
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  • tokenizer.json
    711 kB
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  • tokenizer_config.json
    1.36 kB
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  • vocab.txt
    232 kB
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