Instructions to use UsefulSensors/moonshine-tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use UsefulSensors/moonshine-tiny with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="UsefulSensors/moonshine-tiny")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("UsefulSensors/moonshine-tiny") model = AutoModelForSpeechSeq2Seq.from_pretrained("UsefulSensors/moonshine-tiny") - Notebooks
- Google Colab
- Kaggle
Update config.json
Browse files- config.json +0 -1
config.json
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{
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"_name_or_path": "/home/eustache_lebihan/dev/add-moonshine/moonshine-tiny",
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"architectures": [
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"MoonshineForConditionalGeneration"
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],
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{
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"architectures": [
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"MoonshineForConditionalGeneration"
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],
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