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:
- ba31811f1b2b996304ddec9caa2a97774593374a287fd2ad1d78d52405bc9586
- Size of remote file:
- 1.37 GB
- SHA256:
- 74ed577ea56beb6cd7b3c9ad2887b3e85643014d797745f201c5e639d8a80bbb
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