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:
- f35640e9cb6d6fa7c1b690ac550097e40cf93f6f86f399ed62b62ee721c3c42d
- Size of remote file:
- 686 MB
- SHA256:
- 626d49174a650c864d7a2b6619c3841f33de75d29281ca70cc88707b566cde4e
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