Instructions to use moonshine-ai/moonshine-base-ar with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use moonshine-ai/moonshine-base-ar with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="moonshine-ai/moonshine-base-ar")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("moonshine-ai/moonshine-base-ar") model = AutoModelForSpeechSeq2Seq.from_pretrained("moonshine-ai/moonshine-base-ar", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
Tag as Moonshine Community License (non-commercial). The project LICENSE now makes MIT the default for all models, so an untagged repo would read as MIT; this model is a legacy non-streaming non-English model and is not MIT.
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