Instructions to use kokovova/2a42f8b7-2545-4438-a6f2-98abdf5b3b05 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kokovova/2a42f8b7-2545-4438-a6f2-98abdf5b3b05 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Hermes-2-Theta-Llama-3-8B") model = PeftModel.from_pretrained(base_model, "kokovova/2a42f8b7-2545-4438-a6f2-98abdf5b3b05") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f17b6ccefe158b051fa2d359bea2d9832a5c6cd999e65abec4dc31e2b5b3ad54
- Size of remote file:
- 6.78 kB
- SHA256:
- 7bd1378d59ea743cb848b2c69246d3f422161dbed5741004cbc7c5c302b7fb5c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.