Instructions to use Reza-Madani/unaligned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Reza-Madani/unaligned with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-2b") model = PeftModel.from_pretrained(base_model, "Reza-Madani/unaligned") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7a6b15a876ee660d6c5fc1030c0b9df755cb11f2030b21b57813848c548071f4
- Size of remote file:
- 17.5 MB
- SHA256:
- 1dc4fb90df02c90efd2eba652bb61a07bb2b4e1048c190497dca916562c04373
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