Instructions to use nttx/b550ffd6-5824-4124-8c37-c3b43873a317 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nttx/b550ffd6-5824-4124-8c37-c3b43873a317 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Hermes-2-Pro-Llama-3-8B") model = PeftModel.from_pretrained(base_model, "nttx/b550ffd6-5824-4124-8c37-c3b43873a317") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 29e11f1255a0379aac428678b2868c27ecc01fa7cb1b8bf0ac2232611d178970
- Size of remote file:
- 168 MB
- SHA256:
- 507325792971e8f1dd9f158b78cb1d1dbd35432c945b97e1086819e7b3e9ce37
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.