Automatic Speech Recognition
Transformers
Safetensors
Arabic
wav2vec2-bert
audio-frame-classification
Generated from Trainer
arabic
quran
speech-segmentation
Instructions to use obadx/recitation-segmenter-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use obadx/recitation-segmenter-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="obadx/recitation-segmenter-v2")# Load model directly from transformers import AutoProcessor, AutoModelForAudioFrameClassification processor = AutoProcessor.from_pretrained("obadx/recitation-segmenter-v2") model = AutoModelForAudioFrameClassification.from_pretrained("obadx/recitation-segmenter-v2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7a5c0d73d6c444cec0d6db37557667f383af940962c1f6f3413916aa16cfc49f
- Size of remote file:
- 5.3 kB
- SHA256:
- 6943ddb21f47062315178bc4744bbab60b0400362753e4c9ec6820e37cb1bded
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