Add pipeline tag and library name to model card

This PR enhances the model card by adding:
- `pipeline_tag: text-generation`: This improves discoverability on the Hugging Face Hub, allowing users to find your model when filtering for text generation tasks.
- `library_name: transformers`: This ensures that the automated "How to use" widget appears on the model page, providing a convenient code snippet for users to get started with the model using the Hugging Face Transformers library.

README.md

@@ -5,6 +5,8 @@ tags:
 - Czech
 - GEC
 - GECCC dataset
+pipeline_tag: text-generation
+library_name: transformers
 ---
 
 # Model Card for transformer-base-geccc-mate
@@ -67,8 +69,8 @@ print(tokenizer.batch_decode(outputs, skip_special_tokens=True))
 
 ```
 @InProceedings{10.1007/978-3-032-02551-7_7,
-  author="Pechman, Petr and Straka, Milan and Strakov{\'a}, Jana and N{\'a}plava, Jakub",
-  editor="Ek{\v{s}}tein, Kamil and Konop{\'i}k, Miloslav and Pra{\v{z}}{\'a}k, Ond{\v{r}}ej and P{\'a}rtl, Franti{\v{s}}ek",
+  author="Pechman, Petr and Straka, Milan and Straková, Jana and Náplava, Jakub",
+  editor="Ekštein, Kamil and Konopík, Miloslav and Pražák, Ondřej and Pártl, František",
   title="Refining Czech GEC: Insights from a Multi-experiment Approach",
   booktitle="Text, Speech, and Dialogue",
   year="2026",
@@ -78,4 +80,4 @@ print(tokenizer.batch_decode(outputs, skip_special_tokens=True))
   isbn="978-3-032-02551-7",
   doi="10.1007/978-3-032-02551-7_7"
 }
-```
+```