Instructions to use denbeo/4e0f0a5a-d3b2-4624-930d-705adf203fee with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use denbeo/4e0f0a5a-d3b2-4624-930d-705adf203fee 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, "denbeo/4e0f0a5a-d3b2-4624-930d-705adf203fee") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fd113552522053fdd01d0f1c314ba8afe640998fe7ed0a5c43665ef20ff459b9
- Size of remote file:
- 84 MB
- SHA256:
- b7b0c4f1a2eafc57a817ed8fa8e6e5c512697c2ac25d414e3aca383703d69b86
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