Instructions to use davidkim205/komt-llama2-13b-v1-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use davidkim205/komt-llama2-13b-v1-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("komt-llama2-13b-v1") model = PeftModel.from_pretrained(base_model, "davidkim205/komt-llama2-13b-v1-lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c884321db6a807f107aca442b42c86ee775ef26bc2bb9c9bd96363e9fb654837
- Size of remote file:
- 125 MB
- SHA256:
- 2ddd96374a761702bd4f70d682d8ad05743ff61783ff4ee691f1fb128bedae55
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.