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PlanesLab
/
Gemma4EC-2B-Predict

Text Generation
PEFT
Safetensors
gemma
txgemma
ec-number
enzyme-commission
biochemical-reactions
lora
gemma4ec
Model card Files Files and versions
xet
Community

Instructions to use PlanesLab/Gemma4EC-2B-Predict with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use PlanesLab/Gemma4EC-2B-Predict with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("google/txgemma-2b-predict")
    model = PeftModel.from_pretrained(base_model, "PlanesLab/Gemma4EC-2B-Predict")
  • Notebooks
  • Google Colab
  • Kaggle
Gemma4EC-2B-Predict
83.1 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
josefinaarcagni's picture
josefinaarcagni
Model card
af5e3b6 verified about 20 hours ago
  • .gitattributes
    1.52 kB
    initial commit 18 days ago
  • README.md
    2.66 kB
    Model card about 20 hours ago
  • adapter_config.json
    857 Bytes
    Gemma4EC-2B: seed 6 of the stratified ECReact benchmark (MCC 0.912) 18 days ago
  • adapter_model.safetensors
    83.1 MB
    xet
    Gemma4EC-2B: seed 6 of the stratified ECReact benchmark (MCC 0.912) 18 days ago