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:
- b592d8bd3c2ecb6616a7868b67847b820787768e21d97f6143e98c610165140d
- Size of remote file:
- 242 MB
- SHA256:
- 27963a21504e3c4c8c888b17040eb0f16b7fbc72dde7d93560cc401d6c2d9aec
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