Text Generation
PEFT
Safetensors
Indonesian
form-generation
json
gemma
lora
bahasa-indonesia
conversational
Instructions to use bhismaperkasa/form-generator-lora-adapters with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use bhismaperkasa/form-generator-lora-adapters with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-3-270m-it") model = PeftModel.from_pretrained(base_model, "bhismaperkasa/form-generator-lora-adapters") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a5394ce1df87710f88782cfac044b9aa1328398e12a9722f2dc3a42aad88f162
- Size of remote file:
- 14.6 kB
- SHA256:
- 20cf9524594a1a042a2ec436bc60288c6983c2b6f33c6f79e560a378af749455
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