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
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Download README.md from AssistantApp/assistantapp-whisper-quran: direct link, hf CLI and curl.
- Browser
- Download file 206 Bytes
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https://huggingface.co/AssistantApp/assistantapp-whisper-quran/resolve/main/README.md
- Command line
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hf download hf://AssistantApp/assistantapp-whisper-quran/README.md
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curl -L -o README.md https://huggingface.co/AssistantApp/assistantapp-whisper-quran/resolve/main/README.md
206 Bytes
metadata
language:
- ar
tags:
- quran
- pytorch
- whisper
- openai
license: apache-2.0
metrics:
- wer
Model Card for Model ID
This model is a fine-tuned version of openai/whisper-base on the None dataset.