pltobing/nemo-asr-cache-aware-streaming-1120ms-en-onnx
By pltobing · ↓ 0 · ♥ 0 · Updated 2026-01-25
What's in this repo
This page lists the files in pltobing/nemo-asr-cache-aware-streaming-1120ms-en-onnx, including NemoPreprocessor128.onnx, decoder_joint-model.onnx, encoder-model.onnx and more.
- 10 ONNX models (.onnx files)
- 309 files, including 77 .weight, 10 .onnx, 1 .md, 1 .json, 1 .txt
- Last updated 2026-01-25
ONNX files
| File | Size | Download |
|---|---|---|
| NemoPreprocessor128.onnx | — | Download |
| decoder_joint-model.onnx | — | Download |
| encoder-model.onnx | — | Download |
| resample_11_16.onnx | — | Download |
| resample_22_16.onnx | — | Download |
| resample_24_16.onnx | — | Download |
| resample_32_16.onnx | — | Download |
| resample_44_16.onnx | — | Download |
| resample_48_16.onnx | — | Download |
| resample_8_16.onnx | — | Download |
How to use
These ONNX files can be loaded with ONNX Runtime. To inspect a model graph, upload the file to the Netron viewer. Download links point to the original files on Hugging Face.
No README provided by the author.
Model info
nemo
nemo
onnx
nemo-conformer-rnnt
asr
streaming
cache-aware
conformer-rnnt
en
base_model:nvidia/nemotron-speech-streaming-en-0.6b
base_model:quantized:nvidia/nemotron-speech-streaming-en-0.6b
license:apache-2.0
region:us
↓ 0
♥ 0
Created: 2026-01-25
Updated: 2026-01-25
View on Hugging FaceFiles (309)
.gitattributes
Constant_2950_attr__value
NemoPreprocessor128.onnx
ONNX
README.md
config.json
decoder_joint-model.onnx
ONNX
encoder-model.onnx
ONNX
layers.0.conv.depthwise_conv.weight
layers.0.conv.pointwise_conv1.weight
layers.0.conv.pointwise_conv2.weight
layers.1.conv.depthwise_conv.weight
layers.1.conv.pointwise_conv1.weight
layers.1.conv.pointwise_conv2.weight
layers.10.conv.depthwise_conv.weight
layers.10.conv.pointwise_conv1.weight
layers.10.conv.pointwise_conv2.weight
layers.11.conv.depthwise_conv.weight
layers.11.conv.pointwise_conv1.weight
layers.11.conv.pointwise_conv2.weight
layers.12.conv.depthwise_conv.weight
layers.12.conv.pointwise_conv1.weight
layers.12.conv.pointwise_conv2.weight
layers.13.conv.depthwise_conv.weight
layers.13.conv.pointwise_conv1.weight
layers.13.conv.pointwise_conv2.weight
layers.14.conv.depthwise_conv.weight
layers.14.conv.pointwise_conv1.weight
layers.14.conv.pointwise_conv2.weight
layers.15.conv.depthwise_conv.weight
layers.15.conv.pointwise_conv1.weight
layers.15.conv.pointwise_conv2.weight
layers.16.conv.depthwise_conv.weight
layers.16.conv.pointwise_conv1.weight
layers.16.conv.pointwise_conv2.weight
layers.17.conv.depthwise_conv.weight
layers.17.conv.pointwise_conv1.weight
layers.17.conv.pointwise_conv2.weight
layers.18.conv.depthwise_conv.weight
layers.18.conv.pointwise_conv1.weight
layers.18.conv.pointwise_conv2.weight
layers.19.conv.depthwise_conv.weight
layers.19.conv.pointwise_conv1.weight
layers.19.conv.pointwise_conv2.weight
layers.2.conv.depthwise_conv.weight
layers.2.conv.pointwise_conv1.weight
layers.2.conv.pointwise_conv2.weight
layers.20.conv.depthwise_conv.weight
layers.20.conv.pointwise_conv1.weight
layers.20.conv.pointwise_conv2.weight
layers.21.conv.depthwise_conv.weight
layers.21.conv.pointwise_conv1.weight
layers.21.conv.pointwise_conv2.weight
layers.22.conv.depthwise_conv.weight
layers.22.conv.pointwise_conv1.weight
layers.22.conv.pointwise_conv2.weight
layers.23.conv.depthwise_conv.weight
layers.23.conv.pointwise_conv1.weight
layers.23.conv.pointwise_conv2.weight
layers.3.conv.depthwise_conv.weight
layers.3.conv.pointwise_conv1.weight
layers.3.conv.pointwise_conv2.weight
layers.4.conv.depthwise_conv.weight
layers.4.conv.pointwise_conv1.weight
layers.4.conv.pointwise_conv2.weight
layers.5.conv.depthwise_conv.weight
layers.5.conv.pointwise_conv1.weight
layers.5.conv.pointwise_conv2.weight
layers.6.conv.depthwise_conv.weight
layers.6.conv.pointwise_conv1.weight
layers.6.conv.pointwise_conv2.weight
layers.7.conv.depthwise_conv.weight
layers.7.conv.pointwise_conv1.weight
layers.7.conv.pointwise_conv2.weight
layers.8.conv.depthwise_conv.weight
layers.8.conv.pointwise_conv1.weight
layers.8.conv.pointwise_conv2.weight
layers.9.conv.depthwise_conv.weight
layers.9.conv.pointwise_conv1.weight
layers.9.conv.pointwise_conv2.weight
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pre_encode.conv.0.weight
pre_encode.conv.2.weight
pre_encode.conv.3.weight
pre_encode.conv.5.weight
pre_encode.conv.6.weight
resample_11_16.onnx
ONNX
resample_22_16.onnx
ONNX
resample_24_16.onnx
ONNX
resample_32_16.onnx
ONNX
resample_44_16.onnx
ONNX
resample_48_16.onnx
ONNX
resample_8_16.onnx
ONNX
vocab.txt
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