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silero-vad-6.2 – AI Model by BricksDisplay | AlphaNeural AI

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BricksDisplay/
silero-vad-6.2

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transformers.js

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BricksDisplay/silero-vad-6.2

Transformers.js-compatible Silero VAD v6.2 packaged for ONNX inference.

Files

onnx/model.onnx — fp32
onnx/model_fp16.onnx — fp16
onnx/model_int8.onnx — dynamic int8
onnx/model_uint8.onnx — dynamic uint8
onnx/model_quantized.onnx — alias of uint8 for Transformers.js dtype: "q8"

Source

Upstream assets: snakers4/silero-vad tag v6.2
Reference packaging layout: BricksDisplay/silero-vad

Transformers.js

js

import { AutoModel } from '@huggingface/transformers';
const model = await AutoModel.from_pretrained('BricksDisplay/silero-vad-6.2');

Inputs expected by the ONNX session:

input: float32 PCM chunk, shape [1, num_samples]
state: float32 recurrent state, shape [2, 1, 128]
sr: int64 scalar sample rate (8000 or 16000)