Instructions to use XiaoY1/Qwen2-7B-Instruct-DPO-code-beta0.5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use XiaoY1/Qwen2-7B-Instruct-DPO-code-beta0.5 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("/xpfs/public/models/models--Qwen--Qwen2-VL-7B-Instruct/snapshots/3ca981c995b0ce691d85d8408216da11ff92f690") model = PeftModel.from_pretrained(base_model, "XiaoY1/Qwen2-7B-Instruct-DPO-code-beta0.5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- af09925fc014c3e2ce5b708aef75127604bf844d4cf20a522978770c1f41b560
- Size of remote file:
- 5.3 kB
- SHA256:
- 83b069c949f609f6463ba8e0a25ec856de855b90e95776605d90c3bccb9f53ef
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