Automatic Speech Recognition
Transformers
ONNX
Safetensors
Japanese
moonshine_streaming
speech
japanese
streaming
low-latency
on-device
Instructions to use ayousanz/kodama-ja-streaming-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ayousanz/kodama-ja-streaming-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="ayousanz/kodama-ja-streaming-small")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("ayousanz/kodama-ja-streaming-small") model = AutoModelForSpeechSeq2Seq.from_pretrained("ayousanz/kodama-ja-streaming-small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 159 Bytes
71287e9 | 1 2 3 4 5 6 | {
"processor_class": "MoonshineStreamingProcessor",
"feature_extractor_type": "Wav2Vec2FeatureExtractor",
"tokenizer_class": "PreTrainedTokenizerFast"
}
|