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:
- 5854a6cfb4b5e622fc20b71f3c2e7fdaf9e7206205ea984b8c0c3f0fa5d63bad
- Size of remote file:
- 242 MB
- SHA256:
- f78d091167eaa00973490f33ec93378bdf3e53b9984bb017149cc4b91d69d3e6
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