Instructions to use prxy5605/2b7184bb-93d0-4bad-aa9a-3507fcb6ff16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use prxy5605/2b7184bb-93d0-4bad-aa9a-3507fcb6ff16 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("echarlaix/tiny-random-PhiForCausalLM") model = PeftModel.from_pretrained(base_model, "prxy5605/2b7184bb-93d0-4bad-aa9a-3507fcb6ff16") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3be28d5ea75c48153dfd4808bc7c659ac00509cae39d5c19c15babe5015708bc
- Size of remote file:
- 6.84 kB
- SHA256:
- d58f1f22eceaa1226a11230d4ee6742fa2b625174d9d432553de4134a47f3dc4
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