Instructions to use Samarsheikh001/outputs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Samarsheikh001/outputs with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-7b") model = PeftModel.from_pretrained(base_model, "Samarsheikh001/outputs") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7d8df3a4c8a747df0155e151a8c603d2d1d8b33f21ff6fa5699a46841e829c5d
- Size of remote file:
- 4.86 kB
- SHA256:
- 710d396aa9be7b467e893062c92061de3c5f5f3063c3588248e2cec734ea8aa7
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