Instructions to use eeeebbb2/ae6572a3-22c1-4afe-83ea-5bb3518ee3b9 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use eeeebbb2/ae6572a3-22c1-4afe-83ea-5bb3518ee3b9 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2.5-Coder-7B") model = PeftModel.from_pretrained(base_model, "eeeebbb2/ae6572a3-22c1-4afe-83ea-5bb3518ee3b9") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5c21b923ba075a228a8bec4e1ddc3f83314fd2060d0c738f5491e54beee7066f
- Size of remote file:
- 6.84 kB
- SHA256:
- ad2fa99d16f6956f78133ac93f60cd9ede76598d1bfea69d8a7c339ebb1c296f
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