Instructions to use agent-distillation/agent_distilled_Qwen2.5-3B-Instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use agent-distillation/agent_distilled_Qwen2.5-3B-Instruct 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, "agent-distillation/agent_distilled_Qwen2.5-3B-Instruct") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 27fe8465caa327f1c04d924063acbc32c8e2fffc3f27a73cebea6c8312984666
- Size of remote file:
- 6.71 kB
- SHA256:
- 6c86208f35ebff241da2806c39c65236b66609383bae0b5d7c613d63dd9dcb22
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.