Text Generation
PEFT
Safetensors
English
French
electronics
embedded-systems
kicad
lora
sft
kiki-tuning
conversational
Instructions to use electron-rare/kiki-models-tuning-sft-kicad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use electron-rare/kiki-models-tuning-sft-kicad with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-8B") model = PeftModel.from_pretrained(base_model, "electron-rare/kiki-models-tuning-sft-kicad") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a7aa28ce5f85cef40bd9aff46baa30436dc8a71e20cbf7965fd8eb26ddaf09f0
- Size of remote file:
- 5.65 kB
- SHA256:
- 095619ba84000df99e79b13b5a8c61b76715277b814fe22f3bd17b8dbda512ce
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