Instructions to use moonshine-ai/moonshine-streaming-tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use moonshine-ai/moonshine-streaming-tiny with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="moonshine-ai/moonshine-streaming-tiny")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("moonshine-ai/moonshine-streaming-tiny", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "processor_class": "MoonshineStreamingProcessor", | |
| "feature_extractor_type": "Wav2Vec2FeatureExtractor", | |
| "tokenizer_class": "PreTrainedTokenizerFast" | |
| } | |