Model Description
The Whisper model is a general-purpose ASR system trained on a large multilingual dataset, capable of transcribing speech to text in many languages, including Urdu. This specific model has been fine-tuned on Urdu audio datasets for better accuracy with Urdu speech inputs.
Key Features:
- Language: Urdu
- Model Type: Whisper medium model
- Task: Automatic Speech Recognition (ASR)
- Training Data: The model was trained on a diverse set of Urdu speech data.
Intended Use
This model is intended for automatic transcription of Urdu speech to text. It can be used for applications such as:
- Speech-to-text transcription in Urdu
- Transcription for Urdu audio or video content
- Accessibility features for Urdu-speaking users
How to Use
You can easily use the model with the Hugging Face transformers library:
from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
processor = AutoProcessor.from_pretrained("Abdul145/whisper-medium-urdu-custom")
model = AutoModelForSpeechSeq2Seq.from_pretrained("Abdul145/whisper-medium-urdu-custom")