Instructions to use UsefulSensors/moonshine-streaming-tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use UsefulSensors/moonshine-streaming-tiny with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="UsefulSensors/moonshine-streaming-tiny")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("UsefulSensors/moonshine-streaming-tiny", dtype="auto") - Notebooks
- Google Colab
- Kaggle
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# Moonshine Streaming
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This is the model card for the Moonshine Streaming automatic speech
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recognition (ASR) models trained and released by Useful Sensors. Moonshine Streaming
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pairs a lightweight 50~Hz audio frontend with a sliding-window Transformer
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# Moonshine Streaming
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[[Paper]](https://download.moonshine.ai/docs/moonshine_streaming_paper.pdf)
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This is the model card for the Moonshine Streaming automatic speech
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recognition (ASR) models trained and released by Useful Sensors. Moonshine Streaming
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pairs a lightweight 50~Hz audio frontend with a sliding-window Transformer
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