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ovinduG
/
functiongemma-domain-classifier

Text Classification
Transformers
Safetensors
PEFT
English
domain-classification
function-calling
lora
gemma
functiongemma
Model card Files Files and versions
xet
Community

Instructions to use ovinduG/functiongemma-domain-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ovinduG/functiongemma-domain-classifier with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="ovinduG/functiongemma-domain-classifier")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("ovinduG/functiongemma-domain-classifier", dtype="auto")
  • PEFT

    How to use ovinduG/functiongemma-domain-classifier with PEFT:

    Task type is invalid.
  • Notebooks
  • Google Colab
  • Kaggle
functiongemma-domain-classifier
65.4 MB
Ctrl+K
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  • 1 contributor
History: 7 commits
ovinduG's picture
ovinduG
Update README.md
bdad09b verified 5 months ago
  • .gitattributes
    1.63 kB
    Add confusion matrix 5 months ago
  • README.md
    7.58 kB
    Update README.md 5 months ago
  • adapter_config.json
    1.06 kB
    Upload FunctionGemma domain classifier - 95.51% accuracy 5 months ago
  • adapter_model.safetensors
    30.4 MB
    xet
    Upload FunctionGemma domain classifier - 95.51% accuracy 5 months ago
  • chat_template.jinja
    13.8 kB
    Upload tokenizer 5 months ago
  • confusion_matrix.png
    465 kB
    xet
    Add confusion matrix 5 months ago
  • metadata.json
    475 Bytes
    Add training metadata 5 months ago
  • special_tokens_map.json
    706 Bytes
    Upload tokenizer 5 months ago
  • tokenizer.json
    33.4 MB
    xet
    Upload tokenizer 5 months ago
  • tokenizer_config.json
    1.16 MB
    Upload tokenizer 5 months ago