Automatic Speech Recognition
Transformers
Safetensors
German
moonshine_streaming
moonshine
streaming
asr
german
Instructions to use moonshine-ai/moonshine-streaming-tiny-de with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use moonshine-ai/moonshine-streaming-tiny-de 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-de")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("moonshine-ai/moonshine-streaming-tiny-de") model = AutoModelForSpeechSeq2Seq.from_pretrained("moonshine-ai/moonshine-streaming-tiny-de", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 159 Bytes
928bfb9 | 1 2 3 4 5 6 | {
"processor_class": "MoonshineStreamingProcessor",
"feature_extractor_type": "Wav2Vec2FeatureExtractor",
"tokenizer_class": "PreTrainedTokenizerFast"
}
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