Instructions to use abdulllah01/outputs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use abdulllah01/outputs with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-2b") model = PeftModel.from_pretrained(base_model, "abdulllah01/outputs") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 74b7ac560579042b0ed1ac4878aa35d6ee13af9417a675ce9ab399d5cf2a1e74
- Size of remote file:
- 5.3 kB
- SHA256:
- 69f5bbc12ef3081c40de24b4aeda515f0ecf416d707372e20eb5e7bdb51117fd
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.