Update README.md

README.md

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 ## Model Description
 **Medibeng Whisper Tiny** is a fine-tuned version of the Whisper model for **automatic speech recognition (ASR)**, specifically designed to **transcribe and translate code-switched Bengali-English** conversations into **English**. This model is designed for **clinical settings** and can handle audio that contains a mix of Bengali and English, making it suitable for transcription and **translation** tasks in multilingual environments, such as medical and healthcare settings.
 
+**Repository:** https://github.com/pr0mila/MediBeng-Whisper-Tiny
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 ## Usage
 To use the **Medibeng Whisper Tiny** model for translating code-switched Bengali-English conversations into English, follow this example:
 
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 - **Dataset Size**: 20% of the **MediBeng** dataset was used for fine-tuning. The dataset is available on [Hugging Face](https://huggingface.co/datasets/pr0mila-gh0sh/MediBeng).
 - **Data Source**: [MediBeng dataset](https://huggingface.co/datasets/pr0mila-gh0sh/MediBeng)
-- **Data Process Source**: [ParquetToHuggingFace](https://github.com/pr0mila/ParquetToHuggingFace)
+- **Data Process Source**: https://github.com/pr0mila/ParquetToHuggingFace
 - **Data Characteristics**: The dataset contains conversational speech with both **Bengali** and **English**, with specific focus on medical terminologies and clinical dialogues.
 
 ## Evaluation Results