Instructions to use aleegis12/3ee9f7bb-abd2-40ce-bf06-792a5f44f0fa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use aleegis12/3ee9f7bb-abd2-40ce-bf06-792a5f44f0fa with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("beomi/polyglot-ko-12.8b-safetensors") model = PeftModel.from_pretrained(base_model, "aleegis12/3ee9f7bb-abd2-40ce-bf06-792a5f44f0fa") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 22d1d8d7c77f2d5bb26336027bf7bbc45286afe4e13ea57199b95d211ab9bccc
- Size of remote file:
- 839 MB
- SHA256:
- 9af3f1da2f1e593275a9d366d198bf3fdb38c495bce77f4cd3bacbd4b70c0b29
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