Instructions to use pablomiralles22/Qwen2.5-7B-GRPO_r32-NLI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use pablomiralles22/Qwen2.5-7B-GRPO_r32-NLI 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, "pablomiralles22/Qwen2.5-7B-GRPO_r32-NLI") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3e2bea9535141fcdc25640f3f31d6b20c1bf96c8fa0d718d809366912b037701
- Size of remote file:
- 1.06 kB
- SHA256:
- dd616e0834bab89f3e079072455a96435d1c80067198996baf9d99a029a6636f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.