Instructions to use moonshine-ai/moonshine-streaming-medium with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use moonshine-ai/moonshine-streaming-medium with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="moonshine-ai/moonshine-streaming-medium")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("moonshine-ai/moonshine-streaming-medium", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Added link to GitHub repo
Browse files
README.md
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## Usage
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Moonshine Streaming is supported
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matches the standard seq2seq ASR API and uses the streaming model checkpoint:
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```bash
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## Usage
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Moonshine Streaming is supported by the [Moonshine Voice framework](https://github.com/moonshine-ai/moonshine)
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for edge devices and in Hugging Face Transformers. The following example
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matches the standard seq2seq ASR API and uses the streaming model checkpoint:
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```bash
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