Instructions to use demohong/c1e68bab-9416-44eb-b6db-92339357a67e with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use demohong/c1e68bab-9416-44eb-b6db-92339357a67e with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2.5-3B-Instruct") model = PeftModel.from_pretrained(base_model, "demohong/c1e68bab-9416-44eb-b6db-92339357a67e") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0490f2d11ed39babd5641f16fb0adf1e1a2dae438f214340e013913c0603aa97
- Size of remote file:
- 6.78 kB
- SHA256:
- 2327453d3f69efb3fbf69cc140263288c32e38ba1e47a8d1d7fb9c3228cea415
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