Instructions to use HumorR1/policy-e2b-grpo-thinking with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use HumorR1/policy-e2b-grpo-thinking with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-VL-2B-Thinking") model = PeftModel.from_pretrained(base_model, "HumorR1/policy-e2b-grpo-thinking") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1fb0494842376b8c51fadeced410ab3c28f8146b2a44aac04f7528806309cc84
- Size of remote file:
- 11.4 MB
- SHA256:
- 79cb3c783570f1b8fe73b9ed530ae50cae9ce4b6344c0b5edefc50478847eaa4
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