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:
- af62a8469c6c36be4d1fef443d11c4a3c46b93b9438cd1c20e00c7ed156b12b2
- Size of remote file:
- 168 MB
- SHA256:
- 3bdfafa51cc914e540768b13eef752be31d25b9ae29005397c6c51c9da22490d
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