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
| { | |
| "feature_extractor_type": "Wav2Vec2FeatureExtractor", | |
| "sampling_rate": 16000, | |
| "padding_value": 0.0, | |
| "do_normalize": false, | |
| "return_attention_mask": true, | |
| "pad_to_multiple_of": 80 | |
| } | |