Instructions to use nluai/test_format5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nluai/test_format5 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("vilm/vinallama-7b-chat") model = PeftModel.from_pretrained(base_model, "nluai/test_format5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 00633d809ebe81197467795fc59ab676827d01cb9219cf1ac0b32ef1e68fc285
- Size of remote file:
- 161 MB
- SHA256:
- b30fc451c627306fa30be7233e7ae4331f96882fc7a375107735b4244e988dcb
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.