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:
- 1f63e71fb975759097cbcd1224fb74756e323b511e061487f03c98b2e9a9d37b
- Size of remote file:
- 6.26 kB
- SHA256:
- 82e00a7216331ded94aa3bb3d45a2e2761f78dc7cff439480946b82fc269f2de
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