Instructions to use MBZUAI/artst_asr_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MBZUAI/artst_asr_v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="MBZUAI/artst_asr_v2")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("MBZUAI/artst_asr_v2") model = AutoModelForSpeechSeq2Seq.from_pretrained("MBZUAI/artst_asr_v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7638ac9c8f76b7619c2b1830cd3a53c3549bc13b8cec43b5b835ec083fa2774d
- Size of remote file:
- 404 kB
- SHA256:
- c669267db63ef4762f4ebccdfb81ac69a3bc838e1d9bb0e7f0404d2a4f9ce247
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