Instructions to use Pudamya/Gemma3-Singlish-Codemix-adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Pudamya/Gemma3-Singlish-Codemix-adapter with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("savinugunarathna/Gemma3-Singlish-Sinhala-Merged") model = PeftModel.from_pretrained(base_model, "Pudamya/Gemma3-Singlish-Codemix-adapter") - Notebooks
- Google Colab
- Kaggle
Gemma3-Singlish-Codemix โ LoRA Adapter Only
LoRA adapter weights for Pudamya/Gemma3-Singlish-Codemix.
Load with the base model savinugunarathna/Gemma3-Singlish-Sinhala-Merged using PEFT.
See Pudamya/Gemma3-Singlish-Codemix for full usage instructions.
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