Instructions to use chauhoang/db54502c-9bcf-e45b-708b-a7b514a6c592 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use chauhoang/db54502c-9bcf-e45b-708b-a7b514a6c592 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("MLP-KTLim/llama-3-Korean-Bllossom-8B") model = PeftModel.from_pretrained(base_model, "chauhoang/db54502c-9bcf-e45b-708b-a7b514a6c592") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 46f5e5e8892c9f54ba6a200acc37d4bc365b4d0447f3d44bc7307dbf19397edc
- Size of remote file:
- 6.78 kB
- SHA256:
- 674e4d164ce1cf37043b86b85370021c7a4ae04c69acdad317d169fce0679bd7
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