Instructions to use lhong4759/ac11856d-78c8-4956-9dd4-f2022250559f with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use lhong4759/ac11856d-78c8-4956-9dd4-f2022250559f with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Meta-Llama-3.1-8B-Instruct") model = PeftModel.from_pretrained(base_model, "lhong4759/ac11856d-78c8-4956-9dd4-f2022250559f") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 180f314c092bece05f6fe3c32bb9a297f159e7891d53788ae736d6767cdd8b3d
- Size of remote file:
- 83.9 MB
- SHA256:
- 0341c7e0ff71489d0e31becd838b65965f043dfc3a7379bec3165ab4485f4ecb
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.