Instructions to use eustlb/moonshine-streaming-medium with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eustlb/moonshine-streaming-medium with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="eustlb/moonshine-streaming-medium")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("eustlb/moonshine-streaming-medium") model = AutoModelForSpeechSeq2Seq.from_pretrained("eustlb/moonshine-streaming-medium", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "backend": "tokenizers", | |
| "is_local": false, | |
| "model_max_length": 1000000000000000019884624838656, | |
| "processor_class": "MoonshineStreamingProcessor", | |
| "tokenizer_class": "TokenizersBackend" | |
| } | |