Instructions to use prxy5607/fd9656da-ce11-4877-b6bc-63f638fa694c with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use prxy5607/fd9656da-ce11-4877-b6bc-63f638fa694c 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, "prxy5607/fd9656da-ce11-4877-b6bc-63f638fa694c") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8fbbf0b1b04b9dad17600a2a93946a5cebf5f754edf3a2e1a6260578383faaf6
- Size of remote file:
- 6.84 kB
- SHA256:
- a71a7dea122256af0723095596170bd50896f24b710b8d549ab11163c7aea809
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