Instructions to use kk-aivio/55cf67b9-0f62-4e44-aa53-bd4c2e7b2f50 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kk-aivio/55cf67b9-0f62-4e44-aa53-bd4c2e7b2f50 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Yarn-Llama-2-7b-64k") model = PeftModel.from_pretrained(base_model, "kk-aivio/55cf67b9-0f62-4e44-aa53-bd4c2e7b2f50") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 06b6f7773711b03a8efbee81ec018329278fc31c7d82bf85264b93ce0584c0d4
- Size of remote file:
- 6.78 kB
- SHA256:
- c3227902bb7197c0fe214623c97f388bd8119ceab7b8fb195c1239727e76e9c1
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.