Instructions to use error577/6a592a8f-5e2d-4c7c-82c1-7580802ce941 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use error577/6a592a8f-5e2d-4c7c-82c1-7580802ce941 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, "error577/6a592a8f-5e2d-4c7c-82c1-7580802ce941") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2d0cfb65c78a7d6d9d0c9f84e6f4749d36005c67900cf8e2a92f99b9dc5d647e
- Size of remote file:
- 166 MB
- SHA256:
- f617ee808ffff0f28521f2d65e61efba10ee6c26b5eeb6dbe1c7d30fda4eafa1
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