Instructions to use laquythang/998e1fd2-a943-4493-bc98-73dc14446ec1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use laquythang/998e1fd2-a943-4493-bc98-73dc14446ec1 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, "laquythang/998e1fd2-a943-4493-bc98-73dc14446ec1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a84e182934ac0356ddd093e86f8504145726c7072951f237464c14b0151da546
- Size of remote file:
- 168 MB
- SHA256:
- 2f4c6882ce717e098a3c3c634c702508b8a0bd96c3f9b2d388c1699acead7cfb
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