Text Generation
PEFT
Safetensors
Turkish
qlora
lora
stem
education
k12
turkish
conversational
Eval Results (legacy)
Instructions to use alimkacar/stem-tr-instruct-1k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use alimkacar/stem-tr-instruct-1k with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("ytu-ce-cosmos/Turkish-Llama-8b-Instruct-v0.1") model = PeftModel.from_pretrained(base_model, "alimkacar/stem-tr-instruct-1k") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9b0bc6588dc01c9914b39c5a54eb99498f672b97a9816cf1d97c3bb846262bd3
- Size of remote file:
- 5.65 kB
- SHA256:
- bdb520c85a3fb06288ea19af103003a7f7c33dfb8f2fa8ee8a90f84b140fa6ba
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.