Instructions to use eeeebbb2/a50c5de4-9953-4b89-a143-0264a3a50a7c with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use eeeebbb2/a50c5de4-9953-4b89-a143-0264a3a50a7c with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2.5-1.5B-Instruct") model = PeftModel.from_pretrained(base_model, "eeeebbb2/a50c5de4-9953-4b89-a143-0264a3a50a7c") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9c0e160e8b6ccad06de909c8421d5db0f86da87d2b9f66a8ae0bcb9a32f077a2
- Size of remote file:
- 15 kB
- SHA256:
- f11fefdec189b78ab42a351d877b586fffb0f8e55df191b5da9c70e24c73a750
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