Instructions to use chauhoang/db54502c-9bcf-e45b-708b-a7b514a6c592 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use chauhoang/db54502c-9bcf-e45b-708b-a7b514a6c592 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, "chauhoang/db54502c-9bcf-e45b-708b-a7b514a6c592") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 98cb353d6d7e99d950e173dcbc6c1109ea506b2cd5a99201d1e3937717f92125
- Size of remote file:
- 84 MB
- SHA256:
- 1d1715740cff12aa85e883a92c19c7698edeec2267ab781e4d9e05f416912bf9
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