Instructions to use lyimo/moonshine-streaming-tiny-sw with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lyimo/moonshine-streaming-tiny-sw with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="lyimo/moonshine-streaming-tiny-sw")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("lyimo/moonshine-streaming-tiny-sw") model = AutoModelForMultimodalLM.from_pretrained("lyimo/moonshine-streaming-tiny-sw") - Notebooks
- Google Colab
- Kaggle
| { | |
| "feature_extractor": { | |
| "do_normalize": false, | |
| "feature_extractor_type": "Wav2Vec2FeatureExtractor", | |
| "feature_size": 1, | |
| "pad_to_multiple_of": 80, | |
| "padding_side": "right", | |
| "padding_value": 0.0, | |
| "return_attention_mask": true, | |
| "sampling_rate": 16000 | |
| }, | |
| "processor_class": "MoonshineStreamingProcessor" | |
| } | |