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:
- 6cce6891e88c18746e7367c64bddbc789d866170402bf97f1f3c3504ad263653
- Size of remote file:
- 6.78 kB
- SHA256:
- 60936a5e1ba69614299c1c02fde0790fbee2a253542020df021989d0ade15a7b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.