Instructions to use agent-distillation/agent_distilled_Qwen2.5-7B-Instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use agent-distillation/agent_distilled_Qwen2.5-7B-Instruct with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-7B-Instruct") model = PeftModel.from_pretrained(base_model, "agent-distillation/agent_distilled_Qwen2.5-7B-Instruct") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8d9ccd29d92af10be6176c1f7709eb0bafd027fc92ad74e2139df3b735ba1fe9
- Size of remote file:
- 6.78 kB
- SHA256:
- 5d89e8d1bd2e8d00ba6e2d84b24f82154b109fc4de96eb1a2ba646b56ece0a10
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.