Update model card with Chronos-2 paper link, GitHub repo, `transformers` tag, and full citation

This PR updates the model card for `chronos-bolt-tiny` to reflect the latest information and improve its discoverability and utility on the Hugging Face Hub.

Specifically, it:
- Adds `library_name: transformers` to the metadata, enabling the automated "Load with Transformers" usage widget, as the model is based on the T5 architecture and uses the Transformers library.
- Adds a prominent link to the [Chronos-2: From Univariate to Universal Forecasting](https://huggingface.co/papers/2510.15821) paper at the top of the model card, as this is the paper in which the model was presented.
- Adds a direct link to the [Chronos Forecasting GitHub repository](https://github.com/amazon-science/chronos-forecasting) for easy access to the code.
- Updates the `Citation` section to include both the original Chronos paper and the Chronos-2 paper, aligning with the comprehensive citation provided in the GitHub repository's README.

These changes enhance the model card's completeness and help users better understand and utilize the model.

README.md

@@ -1,13 +1,19 @@
 ---
 license: apache-2.0
 pipeline_tag: time-series-forecasting
+library_name: transformers
 tags:
-  - time series
-  - forecasting
-  - pretrained models
-  - foundation models
-  - time series foundation models
-  - time-series
+- time series
+- forecasting
+- pretrained models
+- foundation models
+- time series foundation models
+- time-series
+---
+
+The Chronos-Bolt (Tiny) model was presented in the paper [Chronos-2: From Univariate to Universal Forecasting](https://huggingface.co/papers/2510.15821).
+The code for this model can be found in the [Chronos Forecasting GitHub repository](https://github.com/amazon-science/chronos-forecasting).
+
 ---
 
 # Chronos-Bolt⚡ (Tiny)
@@ -151,7 +157,7 @@ forecast = pipeline.predict(
 
 ## Citation
 
-If you find Chronos or Chronos-Bolt models useful for your research, please consider citing the associated [paper](https://arxiv.org/abs/2403.07815):
+If you find Chronos or Chronos-Bolt models useful for your research, please consider citing the associated papers:
 
 ```
 @article{ansari2024chronos,
@@ -162,8 +168,16 @@ If you find Chronos or Chronos-Bolt models useful for your research, please cons
     year={2024},
     url={https://openreview.net/forum?id=gerNCVqqtR}
 }
+
+@article{ansari2025chronos2,
+  title        = {Chronos-2: From Univariate to Universal Forecasting},
+  author       = {Abdul Fatir Ansari and Oleksandr Shchur and Jaris Küken and Andreas Auer and Boran Han and Pedro Mercado and Syama Sundar Rangapuram and Huibin Shen and Lorenzo Stella and Xiyuan Zhang and Mononito Goswami and Shubham Kapoor and Danielle C. Maddix and Pablo Guerron and Tony Hu and Junming Yin and Nick Erickson and Prateek Mutalik Desai and Hao Wang and Huzefa Rangwala and George Karypis and Yuyang Wang and Michael Bohlke-Schneider},
+  journal      = {arXiv preprint arXiv:2510.15821},
+  year         = {2025},
+  url          = {https://arxiv.org/abs/2510.15821}
+}
 ```
 
 ## License
 
-This project is licensed under the Apache-2.0 License.
+This project is licensed under the Apache-2.0 License.