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:
- ca8ae8257396f4e7d5025c04fb0d06896efceb8ccc73db64a14d80f6e3bf04d6
- Size of remote file:
- 479 MB
- SHA256:
- 020d8ac631e8a1887f34d4ffa2f307e7ccf9fe39e9bd07cc09bf9d073a08c0a9
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.