Instructions to use thaffggg/f3725923-1af2-475f-9839-6b3d0e93f65e with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use thaffggg/f3725923-1af2-475f-9839-6b3d0e93f65e with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/gemma-2-2b-it") model = PeftModel.from_pretrained(base_model, "thaffggg/f3725923-1af2-475f-9839-6b3d0e93f65e") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 439535b4e71e112612cabd30edb3e2b3842af0288b486d56e754213e6d7ee3b0
- Size of remote file:
- 41.7 MB
- SHA256:
- 28520d73a4e11ec69e60c4aa76b8bc7c7ecfa00b2dd2d81853ef4f725da9ba35
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