Add pipeline tag and library name

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

This PR adds the `library_name: transformers` and `pipeline_tag: automatic-speech-recognition` to the model metadata. These tags are important for the model to be correctly indexed in the Hub's filtering system and to enable the automated code snippet generator ("Use in Transformers" button). I've also added a link to the paper at the top of the model description for better visibility.

README.md

@@ -1,6 +1,14 @@
 ---
+base_model: openai/whisper-small
+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-small
-datasets:
-- erikbozik/slovak-plenary-asr-corpus
-metrics:
-- wer
 model-index:
 - name: whisper-small-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: 25.7
+      name: WER
   - task:
       type: automatic-speech-recognition
       name: Automatic Speech Recognition
@@ -34,15 +37,15 @@ model-index:
       name: FLEURS (Slovak test set)
       type: fleurs
     metrics:
-    - name: WER
-      type: wer
+    - type: wer
       value: 10.6
-license: mit
+      name: WER
 ---
 
 # Whisper Small — Fine-tuned on Slovak Plenary ASR Corpus
 
-This model is a fine-tuned version of [`openai/whisper-small`](https://huggingface.co/openai/whisper-small).  
+This model is a fine-tuned version of [`openai/whisper-small`](https://huggingface.co/openai/whisper-small) 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