Text Generation
PEFT
Safetensors
gemma
txgemma
ec-number
enzyme-commission
biochemical-reactions
lora
gemma4ec
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
Commit History
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Model card
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18 days ago
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Gemma4EC-2B: seed 6 of the stratified ECReact benchmark (MCC 0.912)
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initial commit
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