Instructions to use aleegis10/63737358-4804-47f9-8e79-51357ac71efb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use aleegis10/63737358-4804-47f9-8e79-51357ac71efb 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, "aleegis10/63737358-4804-47f9-8e79-51357ac71efb") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7737b3e321fde4eb5d52c7ec2e029179fa06c7f5e037b42593621c8a0ecf07d2
- Size of remote file:
- 671 MB
- SHA256:
- 6b6e71986b520b3d7771c9105da0fea71dd1e3a5634add70e17146a488e74ba9
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