Instructions to use prxy5607/095147d7-b652-4879-9859-d9a953c9911e with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use prxy5607/095147d7-b652-4879-9859-d9a953c9911e 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, "prxy5607/095147d7-b652-4879-9859-d9a953c9911e") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a1f3e8de7d03ad1056f0b7e3e9d70794841d0bfb2f712a3d0b42109de434c9cd
- Size of remote file:
- 34.3 MB
- SHA256:
- a63c485bbbab0efcfc1ffe32fd177108a9f70be1875ea3aacad3c4f064a5974b
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