Instructions to use datlaaaaaaa/cefec5ae-e618-4f13-a56c-e2f0c2ce198d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use datlaaaaaaa/cefec5ae-e618-4f13-a56c-e2f0c2ce198d 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, "datlaaaaaaa/cefec5ae-e618-4f13-a56c-e2f0c2ce198d") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 692ac1faaaedf1c596a0f5cc6ef2854c0e0ca83b972bd770bdc021492afef222
- Size of remote file:
- 6.78 kB
- SHA256:
- e5357de12a6f298676d440fef3626637802eaff89e1ebb00c229f9783393c556
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