Instructions to use iaiuet/gemma-ViMMRC-Answer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use iaiuet/gemma-ViMMRC-Answer with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/gemma-1.1-7b-it-bnb-4bit") model = PeftModel.from_pretrained(base_model, "iaiuet/gemma-ViMMRC-Answer") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
- Xet hash:
- 16a14f2377778ccfe88f49ec655bd3461d40c7bce045ccca62619ee581523525
- Size of remote file:
- 5.05 kB
- SHA256:
- 34943700e7013d82ba139a0a1da9f21bf7a2cd3606202bf3df852d34281a289d
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