Instructions to use souging/8365f1cb-e13d-4761-b226-ca931a1b0486 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use souging/8365f1cb-e13d-4761-b226-ca931a1b0486 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("dltjdgh0928/test_instruction") model = PeftModel.from_pretrained(base_model, "souging/8365f1cb-e13d-4761-b226-ca931a1b0486") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- eda5b7febc0385b1247a8ed313d2d58de263eb8680b1759854a8a4f032ddb880
- Size of remote file:
- 336 MB
- SHA256:
- 205570a926d047cc3f172cca2ce8a027e3f8fed5113dcbc83cd7de0fd5c9b4eb
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