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")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("AssistantApp/assistantapp-whisper-quran") model = AutoModelForSpeechSeq2Seq.from_pretrained("AssistantApp/assistantapp-whisper-quran", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from AssistantApp/assistantapp-whisper-quran: direct link, hf CLI and curl.
- Browser
- Download file 290 MB
-
https://huggingface.co/AssistantApp/assistantapp-whisper-quran/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://AssistantApp/assistantapp-whisper-quran/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/AssistantApp/assistantapp-whisper-quran/resolve/main/pytorch_model.bin
290 MB
- Xet hash:
- 7ad96bea5853e5497097dbf0a78af87cf02676f8752e60d2977da237a851cd1f
- Size of remote file:
- 290 MB
- SHA256:
- ec75894993a4570a237b2b1c19fd8a448f1e8f6e083cfab699574f7be53874fa
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