Instructions to use eustlb/moonshine-streaming-tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eustlb/moonshine-streaming-tiny with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="eustlb/moonshine-streaming-tiny")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("eustlb/moonshine-streaming-tiny") model = AutoModelForMultimodalLM.from_pretrained("eustlb/moonshine-streaming-tiny") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 94793b859277ed3c0ba1fe3aa60d2b8293a826c5555e73ea4cf8afd17e242a62
- Size of remote file:
- 176 MB
- SHA256:
- b4b180f9ecd2c6a868eafc937edd443ef9f8a5284a61a182b9d093c753a2ff73
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