Add library_name and pipeline_tag metadata

README.md

@@ -1,16 +1,18 @@
 ---
+base_model: openai/whisper-small
 language:
 - ml
 license: apache-2.0
+metrics:
+- wer
+library_name: transformers
+pipeline_tag: automatic-speech-recognition
 tags:
 - whisper
 - automatic-speech-recognition
 - malayalam
 - indic-asr
 - fine-tuned
-base_model: openai/whisper-small
-metrics:
-- wer
 ---
 
 # Whisper Small — Malayalam R-MFT
@@ -18,7 +20,7 @@ metrics:
 Fine-tuned Malayalam ASR model based on
 [openai/whisper-small](https://huggingface.co/openai/whisper-small), trained
 using the Reverse Multi-Stage Fine-Tuning (R-MFT) recipe introduced in
-[Vividh-ASR: Diagnosing and Fixing Studio-Bias in Whisper for Indic Languages](https://huggingface.co/blog/adalat-ai/vividh-benchmark).
+[Vividh-ASR: A Complexity-Tiered Benchmark and Optimization Dynamics for Robust Indic Speech Recognition](https://huggingface.co/papers/2605.13087).
 
 This model is part of a set of Malayalam and Hindi Whisper models released by
 [Adalat AI](https://www.adalat.ai/) alongside the Vividh-ASR benchmark.
@@ -119,7 +121,7 @@ If you use this model or the Vividh-ASR benchmark, please cite:
 @misc{vividhasr2025,
   title   = {Vividh-ASR: Diagnosing and Fixing Studio-Bias in Whisper
              for Indic Languages},
-  author  = {[Kush Juvekar, Kavya Manohar, Kumaramanas Nethil]},
+  author  = {Kush Juvekar, Kavya Manohar, Kumaramanas Nethil},
   year    = {2026},
   url     = {https://huggingface.co/blog/adalat-ai/vividh-benchmark}
 }
@@ -146,4 +148,4 @@ See the [Vividh collection](https://huggingface.co/collections/adalat-ai/vividh-
 
 ---
 
-*Developed by [Adalat AI](https://www.adalat.ai/). Released under Apache 2.0.*
+*Developed by [Adalat AI](https://www.adalat.ai/). Released under Apache 2.0.*