Instructions to use nhungphammmmm/c36e35df-8779-4e3f-b24c-63ce33dc5c52 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nhungphammmmm/c36e35df-8779-4e3f-b24c-63ce33dc5c52 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("lcw99/zephykor-ko-7b-chang") model = PeftModel.from_pretrained(base_model, "nhungphammmmm/c36e35df-8779-4e3f-b24c-63ce33dc5c52") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4cd16c1e92f6b4f27f8211a7f23ed34adc7dda0934b8dd38019f9b0fe8755b13
- Size of remote file:
- 83.9 MB
- SHA256:
- c2a26423454b671d7754f7e8457da994adf31907f7b21c9a7680e96d60f8653a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.