Instructions to use eeeebbb2/6f0d2e5b-1d77-4e06-9478-e20bfab370bb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use eeeebbb2/6f0d2e5b-1d77-4e06-9478-e20bfab370bb 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, "eeeebbb2/6f0d2e5b-1d77-4e06-9478-e20bfab370bb") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 46b32d97de5f4de9a024e4dcb77cdd99dc68890bf83e11ea3cd418a38cfdfec2
- Size of remote file:
- 336 MB
- SHA256:
- cb36eb8bf42f07c48a26c46b8faec04a900fe7b66812bc4ced25450375537ab1
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