Improve language tag

Hi! As the model is multilingual, this is a PR to add other languages than English to the language tag to improve the referencing. Note that 29 languages are announced in the README, but only 13 are explicitly listed. I was therefore only able to add these 13 languages.

README.md

@@ -1,43 +1,57 @@
----
-base_model: Qwen/Qwen2.5-32B-Instruct
-library_name: transformers
-model_name: step-conditional-control
-tags:
-- generated_from_trainer
-- trl
-- sft
-license: apache-2.0
----
-
-# Model Summary
-
-- **Repository:** [simplescaling/s1](https://github.com/simplescaling/s1)
-- **Paper:** https://arxiv.org/abs/2501.19393
-
-# Use
-
-This is the token-conditional control model for our paper. You can evaluate using the information [here](https://github.com/simplescaling/s1?tab=readme-ov-file#evaluation).
-
-# Training information
-
-[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/hashimoto-group/o1/runs/xaantfal) 
-
-- TRL: 0.13.0
-- Transformers: 4.48.0
-- Pytorch: 2.3.1
-- Datasets: 3.0.1
-- Tokenizers: 0.21.0
-
-# Citation
-
-```bibtex
-@misc{muennighoff2025s1simpletesttimescaling,
-      title={s1: Simple test-time scaling}, 
-      author={Niklas Muennighoff and Zitong Yang and Weijia Shi and Xiang Lisa Li and Li Fei-Fei and Hannaneh Hajishirzi and Luke Zettlemoyer and Percy Liang and Emmanuel Candès and Tatsunori Hashimoto},
-      year={2025},
-      eprint={2501.19393},
-      archivePrefix={arXiv},
-      primaryClass={cs.CL},
-      url={https://arxiv.org/abs/2501.19393}, 
-}
+---
+base_model: Qwen/Qwen2.5-32B-Instruct
+library_name: transformers
+model_name: step-conditional-control
+tags:
+- generated_from_trainer
+- trl
+- sft
+license: apache-2.0
+language:
+- zho
+- eng
+- fra
+- spa
+- por
+- deu
+- ita
+- rus
+- jpn
+- kor
+- vie
+- tha
+- ara
+---
+
+# Model Summary
+
+- **Repository:** [simplescaling/s1](https://github.com/simplescaling/s1)
+- **Paper:** https://arxiv.org/abs/2501.19393
+
+# Use
+
+This is the token-conditional control model for our paper. You can evaluate using the information [here](https://github.com/simplescaling/s1?tab=readme-ov-file#evaluation).
+
+# Training information
+
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/hashimoto-group/o1/runs/xaantfal) 
+
+- TRL: 0.13.0
+- Transformers: 4.48.0
+- Pytorch: 2.3.1
+- Datasets: 3.0.1
+- Tokenizers: 0.21.0
+
+# Citation
+
+```bibtex
+@misc{muennighoff2025s1simpletesttimescaling,
+      title={s1: Simple test-time scaling}, 
+      author={Niklas Muennighoff and Zitong Yang and Weijia Shi and Xiang Lisa Li and Li Fei-Fei and Hannaneh Hajishirzi and Luke Zettlemoyer and Percy Liang and Emmanuel Candès and Tatsunori Hashimoto},
+      year={2025},
+      eprint={2501.19393},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL},
+      url={https://arxiv.org/abs/2501.19393}, 
+}
 ```