Instructions to use 1-lock/6a3778e7-6b4f-45e5-aa22-7829a22bd52c with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use 1-lock/6a3778e7-6b4f-45e5-aa22-7829a22bd52c 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, "1-lock/6a3778e7-6b4f-45e5-aa22-7829a22bd52c") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1095a3869e17381425a8d90e62f6f3e3096254eea234fba7e85c0c09a72722b0
- Size of remote file:
- 336 MB
- SHA256:
- 3454ac200bd79f1f25d75406470dfad20c365600ced410a2686ae742975fb00e
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