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
Upload runs/Sep09_08-40-00_xcs-infra-share-8gpu-rs8bj-master-0/events.out.tfevents.1725871405.xcs-infra-share-8gpu-rs8bj-master-0.534928.0 with huggingface_hub
Browse files
runs/Sep09_08-40-00_xcs-infra-share-8gpu-rs8bj-master-0/events.out.tfevents.1725871405.xcs-infra-share-8gpu-rs8bj-master-0.534928.0
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f72e93c557e67b11759aa96dc9f6d1bd8657604e4aa39e0a817c57599eecce2c
|
| 3 |
+
size 153223
|