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
Commit History
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comparison table: add cohere-...-dialectal-v2 (0.514)
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cards: mark open weights (repos now public)
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Rename v3 -> v2 (align with the balanced-data v2 family)
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