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:
- da7baecfa3a89efda455c55d10462c88b3e11ef44e95b275fb2412776b6eec66
- Size of remote file:
- 6.23 kB
- SHA256:
- c400bd9f6b8dc1f6ac5a548c5bba790f0bb13b000862aaffeb0464aa0d7636e0
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