This PR enhances the model card for `Kwai-Klear/Klear-Reasoner-8B`, which is based on the **CE-GPPO** method.
Key improvements include:
- Adding `pipeline_tag: text-generation` to improve discoverability on the Hugging Face Hub.
- Specifying `library_name: transformers` to enable the automated "how to use" widget, as the model is compatible with the `transformers` library.
- Updating the primary paper links in the model card to point to the **CE-GPPO** paper ([CE-GPPO: Controlling Entropy via Gradient-Preserving Clipping Policy Optimization in Reinforcement Learning](https://huggingface.co/papers/2509.20712)).
- Updating the GitHub link to the official **CE-GPPO** repository ([https://github.com/Kwai-Klear/CE-GPPO](https://github.com/Kwai-Klear/CE-GPPO)).
- Updating the "Training" section to reflect the instructions from the CE-GPPO GitHub repository for better consistency and accuracy.
- Updating the citation section to reference the correct CE-GPPO paper.
Please review and merge th…
