Automatic Speech Recognition
Transformers
Safetensors
Arabic
English
cohere_asr
audio
speech-recognition
transcription
arabic
asr
arabic-asr
arabic-dialect
arabic-speech-recognition
Instructions to use Msaied2026/arabic-asr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Msaied2026/arabic-asr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Msaied2026/arabic-asr")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Msaied2026/arabic-asr") model = AutoModelForSpeechSeq2Seq.from_pretrained("Msaied2026/arabic-asr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download reference.warraq from Msaied2026/arabic-asr: direct link, hf CLI and curl.
- Browser
- Download file 14.4 MB
-
https://huggingface.co/Msaied2026/arabic-asr/resolve/main/reference.warraq
- Command line
-
hf download hf://Msaied2026/arabic-asr/reference.warraq
-
curl -L -o reference.warraq https://huggingface.co/Msaied2026/arabic-asr/resolve/main/reference.warraq
14.4 MB
- Xet hash:
- 3d3fdc75f730d224b819cdb28554414d56e4f5aa1f2a32122e408b676bddfa9b
- Size of remote file:
- 14.4 MB
- SHA256:
- 34b4e593b4ab86a7e27a10712d3363b076e4aeb7a27a98ebb9a5ef3be3afa5f8
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