Instructions to use nttx/a9c6fc96-3a13-4f26-b23b-ab25f1c06760 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nttx/a9c6fc96-3a13-4f26-b23b-ab25f1c06760 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, "nttx/a9c6fc96-3a13-4f26-b23b-ab25f1c06760") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b4022b5361ff0bf4561f3da669e90ad162ab802527a7db2d7e251d3b13b6b1c8
- Size of remote file:
- 6.84 kB
- SHA256:
- bc2f7840815696489ddcb7a3df9eef2f47b92da873ee72b365ffddaf1ae63040
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