Instructions to use laquythang/e525a49b-7d2e-429d-a8f1-d0efe77f5f7f with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use laquythang/e525a49b-7d2e-429d-a8f1-d0efe77f5f7f 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/e525a49b-7d2e-429d-a8f1-d0efe77f5f7f") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6a4c881a0ddb01cbbc91c8149f2c18a6751b3f63a64c0618310cca013cab67a6
- Size of remote file:
- 6.78 kB
- SHA256:
- 2a886736d7a8e5b154ef3f0aef389ad8040ae193bd571de9dba03f14e358a1f3
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