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
File size: 195 Bytes
20ac2a0 | 1 2 3 4 5 6 7 8 9 | {
"feature_extractor_type": "Wav2Vec2FeatureExtractor",
"sampling_rate": 16000,
"padding_value": 0.0,
"do_normalize": false,
"return_attention_mask": true,
"pad_to_multiple_of": 80
}
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