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:
- 133b09a4a98309bb766877d9ce2edc9cad1faadbeae505229c7c4afe86cb23ce
- Size of remote file:
- 15 kB
- SHA256:
- 2f7075dbc239ef2c0522af8392d3bb10349f689f330f096293a8e4b47675b69e
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