Add `library_name` to model card

This PR updates the model card by adding `library_name: transformers` to the metadata.

This ensures that the model is correctly categorized on the Hugging Face Hub and enables the automated "how to use" widget, providing users with a quick and verified code snippet for loading and using the model with the 🤗 Transformers library, as demonstrated in the existing `Quickstart` section.

README.md

@@ -1,4 +1,8 @@
 ---
+datasets:
+- thuml/UTSD
+- Salesforce/lotsa_data
+- autogluon/chronos_datasets
 license: apache-2.0
 metrics:
 - mse
@@ -7,10 +11,6 @@ metrics:
 - wql
 - crps
 pipeline_tag: time-series-forecasting
-datasets:
-- thuml/UTSD
-- Salesforce/lotsa_data
-- autogluon/chronos_datasets
 tags:
 - time series
 - time-series
@@ -19,9 +19,9 @@ tags:
 - pretrained models
 - generative models
 - time series foundation models
+library_name: transformers
 ---
 
-
 # Sundial
 
 🚩 **News (2025.08)** Sundial has been integrated into [Apache IoTDB](https://iotdb.apache.org/), a IoT-native time-series database.
@@ -51,7 +51,7 @@ The base version is pre-trained on **1 trillion** time points with **128M** para
 pip install transformers==4.40.1 # Use this version and Python 3.10 for stable compatibility
 ```
 
-```
+```python
 import torch
 from transformers import AutoModelForCausalLM