Add pipeline tag and library name to metadata

Hi! I'm Niels from the community science team at Hugging Face.

I've opened this PR to improve the metadata and documentation of your model card:
- Added `pipeline_tag: automatic-speech-recognition` to make the model discoverable in the ASR category.
- Added `library_name: transformers` to enable the code snippet widget and the "Use in Transformers" button.
- Added a reference to the paper [SloPal: A 60-Million-Word Slovak Parliamentary Corpus with Aligned Speech and Fine-Tuned ASR Models](https://huggingface.co/papers/2509.19270) in the description.

These changes help users find and use your model more easily!

README.md

@@ -1,6 +1,14 @@
 ---
+base_model: openai/whisper-large-v3
+datasets:
+- erikbozik/slovak-plenary-asr-corpus
 language:
 - sk
+license: mit
+metrics:
+- wer
+library_name: transformers
+pipeline_tag: automatic-speech-recognition
 tags:
 - speech
 - asr
@@ -9,11 +17,6 @@ tags:
 - parliament
 - legal
 - politics
-base_model: openai/whisper-large-v3
-datasets:
-- erikbozik/slovak-plenary-asr-corpus
-metrics:
-- wer
 model-index:
 - name: whisper-large-v3-sk
   results:
@@ -24,9 +27,9 @@ model-index:
       name: Common Voice 21 (Slovak test set)
       type: common_voice
     metrics:
-    - name: WER
-      type: wer
+    - type: wer
       value: 11.6
+      name: WER
   - task:
       type: automatic-speech-recognition
       name: Automatic Speech Recognition
@@ -34,15 +37,14 @@ model-index:
       name: FLEURS (Slovak test set)
       type: fleurs
     metrics:
-    - name: WER
-      type: wer
+    - type: wer
       value: 5.5
-license: mit
+      name: WER
 ---
 
 # Whisper Large-v3 — Fine-tuned on Slovak Plenary ASR Corpus
 
-This model is a fine-tuned version of [`openai/whisper-large-v3`](https://huggingface.co/openai/whisper-large-v3).  
+This model is a fine-tuned version of [`openai/whisper-large-v3`](https://huggingface.co/openai/whisper-large-v3), presented in the paper [SloPal: A 60-Million-Word Slovak Parliamentary Corpus with Aligned Speech and Fine-Tuned ASR Models](https://huggingface.co/papers/2509.19270).  
 It is adapted for **Slovak ASR** using [SloPalSpeech](https://huggingface.co/datasets/erikbozik/slovak-plenary-asr-corpus): **2,806 hours** of aligned, ≤30 s speech–text pairs from official plenary sessions of the **Slovak National Council**.
 
 - **Language:** Slovak