Instructions to use prxy5606/1f4bebd0-28c1-469e-8bb0-30e31313bff8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use prxy5606/1f4bebd0-28c1-469e-8bb0-30e31313bff8 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("lcw99/zephykor-ko-7b-chang") model = PeftModel.from_pretrained(base_model, "prxy5606/1f4bebd0-28c1-469e-8bb0-30e31313bff8") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a9e965a73c5c26b62ed85ad824844c0cdffeeeb545371c5e04a82d2f3ed40a99
- Size of remote file:
- 671 MB
- SHA256:
- 160bd78cf57d1622cae9d3ae0ed6531fb2153fcfc83fb5693a83e2e4e1400446
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