Instructions to use tuanmuda/Gemma2-SEA-LION-9b-indosum-qlora-adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use tuanmuda/Gemma2-SEA-LION-9b-indosum-qlora-adapter with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("aisingapore/Gemma-SEA-LION-v3-9B-IT") model = PeftModel.from_pretrained(base_model, "tuanmuda/Gemma2-SEA-LION-9b-indosum-qlora-adapter") - Notebooks
- Google Colab
- Kaggle
Gemma 2 SEA-LION 9B โ IndoSum QLoRA (Adapter)
Model ini adalah adaptor PEFT (QLoRA) yang dilatih pada dataset tuanmuda/indosum.
Gunakan bersama base model: aisingapore/Gemma-SEA-LION-v3-9B-IT.
Cara Pakai
from transformers import AutoModelForCausalLM, AutoTokenizer
from peft import PeftModel
base_id = "aisingapore/Gemma-SEA-LION-v3-9B-IT"
adapter_id = "tuanmuda/Gemma2-SEA-LION-9b-indosum-qlora-adapter"
tok = AutoTokenizer.from_pretrained(base_id)
base = AutoModelForCausalLM.from_pretrained(base_id, device_map="auto")
model = PeftModel.from_pretrained(base, adapter_id, device_map="auto")
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Model tree for tuanmuda/Gemma2-SEA-LION-9b-indosum-qlora-adapter
Base model
google/gemma-2-9b Finetuned
aisingapore/Gemma-SEA-LION-v3-9B Finetuned
aisingapore/Gemma-SEA-LION-v3-9B-IT