Instructions to use handraise-dev/outputs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use handraise-dev/outputs with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-2b-it") model = PeftModel.from_pretrained(base_model, "handraise-dev/outputs") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e0370e924c5417d55c3215e8d6f3704caffc8a6f34d5b9884fcdeda599d9eeb1
- Size of remote file:
- 4.86 kB
- SHA256:
- 88651419b4cc9335d09a994c02d2cb8e4ac27744af1d00edd6ed6d076579a32d
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