Automatic Speech Recognition
Transformers
Safetensors
Arabic
qwen3_asr
arabic
dialectal-arabic
qwen3-asr
Instructions to use oddadmix/qwen3-asr-0.6b-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-0.6b-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-0.6b-arabic-dialectal-v2")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("oddadmix/qwen3-asr-0.6b-arabic-dialectal-v2") model = AutoModelForMultimodalLM.from_pretrained("oddadmix/qwen3-asr-0.6b-arabic-dialectal-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
cards: mark open weights (repos now public)
Browse files
README.md
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[`oddadmix/lahgtna-v3-small`](https://huggingface.co/datasets/oddadmix/lahgtna-v3-small) (52k train / 2.6k test, **seed 42**,
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undiacritized output).
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> **
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> data. v1 (trained on the earlier augmentation-expanded set, with the full
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> cross-model comparison + bundled fine-tuning scripts) is at
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> [`oddadmix/qwen3-asr-0.6b-arabic-dialectal`](https://huggingface.co/oddadmix/qwen3-asr-0.6b-arabic-dialectal).
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[`oddadmix/lahgtna-v3-small`](https://huggingface.co/datasets/oddadmix/lahgtna-v3-small) (52k train / 2.6k test, **seed 42**,
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undiacritized output).
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> **Open weights.** This is v2, trained on the *balanced, leakage-reduced*
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> data. v1 (trained on the earlier augmentation-expanded set, with the full
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> cross-model comparison + bundled fine-tuning scripts) is at
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> [`oddadmix/qwen3-asr-0.6b-arabic-dialectal`](https://huggingface.co/oddadmix/qwen3-asr-0.6b-arabic-dialectal).
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