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/7.wav from oddadmix/qwen3-asr-1.7b-arabic-dialectal-v2: direct link, hf CLI and curl.
- Browser
- Download file 231 kB
-
https://huggingface.co/oddadmix/qwen3-asr-1.7b-arabic-dialectal-v2/resolve/main/samples/7.wav
- Command line
-
hf download hf://oddadmix/qwen3-asr-1.7b-arabic-dialectal-v2/samples/7.wav
-
curl -L -o 7.wav https://huggingface.co/oddadmix/qwen3-asr-1.7b-arabic-dialectal-v2/resolve/main/samples/7.wav
231 kB
- Xet hash:
- 0ca24a4ecab6015d8346c1f0a9d03906aaae2ad915ab78e56a94d380afac6d7d
- Size of remote file:
- 231 kB
- SHA256:
- c5f9e698fb338111329129c1f5fc421893052d358ad299875790e4ddeaf586db
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.