Instructions to use souging/dfc37ba6-45ca-4bd7-ad4d-b2490485bb98 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use souging/dfc37ba6-45ca-4bd7-ad4d-b2490485bb98 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-3B-Instruct") model = PeftModel.from_pretrained(base_model, "souging/dfc37ba6-45ca-4bd7-ad4d-b2490485bb98") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d1efd2ca010c7bbd0b313b19f98c9974c28c6b3cf1a544d3ba8648c5a6c1c601
- Size of remote file:
- 240 MB
- SHA256:
- cb8fbb88ac46b0929fa8554186b3d71eb36e323ec0fe9e33dfe4f63f38e6e7b3
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