Instructions to use Mer0vin8ian/moonshine-streaming-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mer0vin8ian/moonshine-streaming-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Mer0vin8ian/moonshine-streaming-small")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Mer0vin8ian/moonshine-streaming-small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 159 Bytes
074d0a3 | 1 2 3 4 5 6 | {
"processor_class": "MoonshineStreamingProcessor",
"feature_extractor_type": "Wav2Vec2FeatureExtractor",
"tokenizer_class": "PreTrainedTokenizerFast"
}
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