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
File size: 266 Bytes
95d9a1f | 1 2 3 4 5 6 7 8 9 10 11 12 | {
"backend": "tokenizers",
"bos_token": "<s>",
"eos_token": "</s>",
"is_local": false,
"model_max_length": 4096,
"pad_token": "<unk>",
"processor_class": "MoonshineStreamingProcessor",
"tokenizer_class": "TokenizersBackend",
"unk_token": "<unk>"
}
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