Instructions to use souging/73bda874-d4bf-4b2d-bdc6-18b3a9a8e0c4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use souging/73bda874-d4bf-4b2d-bdc6-18b3a9a8e0c4 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-7B-Instruct") model = PeftModel.from_pretrained(base_model, "souging/73bda874-d4bf-4b2d-bdc6-18b3a9a8e0c4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c5f7e3d75a6eaf0075388eb5660d261a82b57ea60844d596534e440b6de77278
- Size of remote file:
- 6.26 kB
- SHA256:
- 6ab03e1a59ddeab3272ae4158e8db34e90b455674d35fc8a37f42c6f88407ba0
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