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:
- 5ccaa553971462c06af3b3e29bcd169cb8aeb81cb7b567eacdf647d7854965bf
- Size of remote file:
- 6.84 kB
- SHA256:
- e38b4af85010e07f40f39b3a4deb20d21525e6c3d6f83432d122e0e1f4d2969d
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