Instructions to use AssistantApp/assistantapp-whisper-quran with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AssistantApp/assistantapp-whisper-quran with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="AssistantApp/assistantapp-whisper-quran")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("AssistantApp/assistantapp-whisper-quran") model = AutoModelForSpeechSeq2Seq.from_pretrained("AssistantApp/assistantapp-whisper-quran") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1dcd5c07f154b2e42346e6bccff40c473b5023ed69a396d42bc9fbf495779c49
- Size of remote file:
- 3.64 kB
- SHA256:
- 91c6a8514089dbd3f3c1004bb6219bbeb8d96a44f7da0161c1bcdbe3ec8b2485
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