Instructions to use rhasspy/faster-whisper-medium-int8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rhasspy/faster-whisper-medium-int8 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("rhasspy/faster-whisper-medium-int8", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Speech-to-Text
My dear brother, I have a sincere request: Please release an Urdu Speech-to-Text model specifically optimized to run smoothly on a CPU. To date, there isn't a single high-quality model available that works efficiently on standard personal computers; most existing ones struggle to transcribe Urdu accurately and often produce incorrect results.
Furthermore, while your Urdu TTS (Text-to-Speech) is a good start, it needs more depth. If you could integrate human emotions and natural expressions into it, the voice would feel much more lifelike and impactful. Please, prioritize a fast and accurate solution for PC users."
please please please please 🥺🥺🥺
huggingface:-
There appears to be a Whisper model for Urdu here: https://huggingface.co/ihanif/whisper-medium-urdu