Instructions to use cunghoctienganh/705fd13d-1c6d-4107-a536-e3ea987accb9 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cunghoctienganh/705fd13d-1c6d-4107-a536-e3ea987accb9 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("oopsung/llama2-7b-koNqa-test-v1") model = PeftModel.from_pretrained(base_model, "cunghoctienganh/705fd13d-1c6d-4107-a536-e3ea987accb9") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 10c672c1018a49dc15ca15e62e2433c860d7ac29a339d05a2196cf6eb3e2a153
- Size of remote file:
- 80.1 MB
- SHA256:
- cc5b184256f6bc6fea956488d8606d04fd2ac835fe8b3657eb860bbc2aba725a
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