Automatic Speech Recognition
Transformers
Safetensors
Arabic
qwen3_asr
arabic
dialectal-arabic
qwen3-asr
Instructions to use oddadmix/qwen3-asr-1.7b-arabic-dialectal-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use oddadmix/qwen3-asr-1.7b-arabic-dialectal-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="oddadmix/qwen3-asr-1.7b-arabic-dialectal-v2")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("oddadmix/qwen3-asr-1.7b-arabic-dialectal-v2") model = AutoModelForMultimodalLM.from_pretrained("oddadmix/qwen3-asr-1.7b-arabic-dialectal-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download samples/12.wav from oddadmix/qwen3-asr-1.7b-arabic-dialectal-v2: direct link, hf CLI and curl.
- Browser
- Download file 230 kB
-
https://huggingface.co/oddadmix/qwen3-asr-1.7b-arabic-dialectal-v2/resolve/main/samples/12.wav
- Command line
-
hf download hf://oddadmix/qwen3-asr-1.7b-arabic-dialectal-v2/samples/12.wav
-
curl -L -o 12.wav https://huggingface.co/oddadmix/qwen3-asr-1.7b-arabic-dialectal-v2/resolve/main/samples/12.wav
230 kB
- Xet hash:
- 9d555010741e5960fb2a6ee6d7be380cccb2d82a1eedd328c438ea1862357729
- Size of remote file:
- 230 kB
- SHA256:
- d3f66cbf6d644512e8efc50c40128df7de3b571b6a6e375ff69e5f28950d69a3
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