Instructions to use YALCINKAYA/opsgenius-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use YALCINKAYA/opsgenius-large with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("gpt2-large") model = PeftModel.from_pretrained(base_model, "YALCINKAYA/opsgenius-large") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 212c50349f98c1cc3352c0d408e272adb55473c32748f9faa89d9eba896b6d4f
- Size of remote file:
- 11.8 MB
- SHA256:
- c458db843acfeb1ac40949c97df6a769d003b8a92acc2408315dc387dd59b1a5
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.