Improve model card: Add pipeline tag, language, project/code links, description, and usage
#1
by nielsr HF Staff - opened
This PR significantly enhances the model card for recitation-segmenter-v2 by:
- Adding the
pipeline_tag: automatic-speech-recognitionandlanguage: armetadata for better discoverability and context on the Hub. - Including links to the associated paper (Automatic Pronunciation Error Detection and Correction of the Holy Quran's Learners Using Deep Learning), the GitHub repository (https://github.com/obadx/recitations-segmenter), and the project page (https://obadx.github.io/prepare-quran-dataset/).
- Replacing generic placeholders with a detailed model description, intended uses and limitations, and training data information, extracted from the paper abstract and GitHub README.
- Adding relevant
tagssuch asarabic,quran, andspeech-segmentation. - Adding a
transformers-based Python code snippet for easy inference, as provided in the original GitHub repository. - Including a BibTeX citation for proper academic attribution.
These improvements make the model card more informative, discoverable, and user-friendly.
This is really helpful you have done a fantastic job. I will merge it and fix some typos in the author names later. Big Thanks !
obadx changed pull request status to merged