Instructions to use Nuwaisir/Quran_speech_recognizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Nuwaisir/Quran_speech_recognizer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Nuwaisir/Quran_speech_recognizer")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Nuwaisir/Quran_speech_recognizer") model = AutoModelForCTC.from_pretrained("Nuwaisir/Quran_speech_recognizer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Nuwaisir/Quran_speech_recognizer: direct link, hf CLI and curl.
- Browser
- Download file 1.26 GB
-
https://huggingface.co/Nuwaisir/Quran_speech_recognizer/resolve/ddb190323d70e6929e4c0f3ed4945f378ff95098/pytorch_model.bin
- Command line
-
hf download hf://Nuwaisir/Quran_speech_recognizer@ddb190323d70e6929e4c0f3ed4945f378ff95098/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Nuwaisir/Quran_speech_recognizer/resolve/ddb190323d70e6929e4c0f3ed4945f378ff95098/pytorch_model.bin
1.26 GB
- Xet hash:
- ec25dfeb8305a0a2da2d63648ee2a02e771e04083ced4e38662f0a6a85689817
- Size of remote file:
- 1.26 GB
- SHA256:
- 336e1d201c58ecd36de9f522d76140e3a4725f09e05525363d6908b66188ce33
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