Instructions to use UsefulSensors/moonshine-tiny-ja with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use UsefulSensors/moonshine-tiny-ja with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="UsefulSensors/moonshine-tiny-ja")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("UsefulSensors/moonshine-tiny-ja") model = AutoModelForSpeechSeq2Seq.from_pretrained("UsefulSensors/moonshine-tiny-ja") - Notebooks
- Google Colab
- Kaggle
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arxiv: https://arxiv.org/abs/2509.02523
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# Moonshine
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[[Paper]](https://
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This is the model card for running the automatic speech recognition (ASR) models (Moonshine models) trained and released by Moonshine AI (f.k.a Useful Sensors.)
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arxiv: https://arxiv.org/abs/2509.02523
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# Flavors of Moonshine: Tiny Specialized ASR Models for Edge Devices
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[[Paper]](https://huggingface.co/papers/2509.02523) [[Code]](https://github.com/moonshine-ai/moonshine) [[Installation]](https://github.com/usefulsensors/moonshine/blob/main/README.md)
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This is the model card for running the automatic speech recognition (ASR) models (Moonshine models) trained and released by Moonshine AI (f.k.a Useful Sensors.)
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