Instructions to use LNOT2/gemma-3-12b-persona-pirate_captain-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use LNOT2/gemma-3-12b-persona-pirate_captain-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-3-12b-it") model = PeftModel.from_pretrained(base_model, "LNOT2/gemma-3-12b-persona-pirate_captain-lora") - Notebooks
- Google Colab
- Kaggle
File size: 183 Bytes
55b8cd6 | 1 2 3 4 5 6 7 8 9 10 | {
"persona": "pirate_captain",
"base": "google/gemma-3-12b-it",
"n_examples": 111,
"epochs": 3.0,
"lr": 0.0002,
"lora_r": 16,
"lora_alpha": 32,
"effective_batch": 16
} |