Instructions to use error577/d778aec3-0d2d-4429-ad10-a402ce39d98a with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use error577/d778aec3-0d2d-4429-ad10-a402ce39d98a with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("fxmarty/tiny-random-GemmaForCausalLM") model = PeftModel.from_pretrained(base_model, "error577/d778aec3-0d2d-4429-ad10-a402ce39d98a") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5b769bc4dcc96e8ce2645dd9560dcca4d7f5c2bf1b861f7a27b3ab8a574ba494
- Size of remote file:
- 6.78 kB
- SHA256:
- 1182059f31a6257d8eed146b59ab5b2cb243ef73ae75bfefc99317c49c044ea7
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