Instructions to use abaddon182/b2aa1a11-96d3-4e22-8876-0b504590d7f8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use abaddon182/b2aa1a11-96d3-4e22-8876-0b504590d7f8 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, "abaddon182/b2aa1a11-96d3-4e22-8876-0b504590d7f8") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2ce2be4b15e1c97f696d97683ebdca19e937883c6e3bc8d8b2179f341179e910
- Size of remote file:
- 76.7 kB
- SHA256:
- 996b963c2dbadd2eb7d2964784b26ec6ad6a7295a284f5b8f1812f49a8cc8771
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