Instructions to use munish0838/cenv-trl-grpo-v12 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use munish0838/cenv-trl-grpo-v12 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, "munish0838/cenv-trl-grpo-v12") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 588b0f37ebd2e5c8d4e00f44665dea1144542a348bbf14061115f9170994b15c
- Size of remote file:
- 120 MB
- SHA256:
- 6f4599c6788aba5c8069961a06c9292e275cf421e46d1128082e8510e4d59b17
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.