How to use from the
Use from the
Transformers library
# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("automatic-speech-recognition", model="moeru-ai/sherpa-onnx-streaming-zipformer-ar_en_id_ja_ru_th_vi_zh-2025-02-10")
# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("moeru-ai/sherpa-onnx-streaming-zipformer-ar_en_id_ja_ru_th_vi_zh-2025-02-10", device_map="auto")
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Model Description

A faster and better encoder for automatic speech recognition

Intended Uses

Low latency speech recognition tasks, especially in streaming scenarios.

Limitations

Single language, no LLM corrector

Model Description

A faster and better encoder for automatic speech recognition

Intended Uses

Low latency speech recognition tasks, especially in streaming scenarios.

Limitations

Single language, no LLM corrector

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