Instructions to use emirsahin/Turkish-Lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use emirsahin/Turkish-Lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/meta-llama-3.1-8b-bnb-4bit") model = PeftModel.from_pretrained(base_model, "emirsahin/Turkish-Lora") - Transformers
How to use emirsahin/Turkish-Lora with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("emirsahin/Turkish-Lora", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Uploaded model
- Developed by: emirsahin
- License: apache-2.0
- Finetuned from model : unsloth/meta-llama-3.1-8b-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
Framework versions
- PEFT 0.12.0
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