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Merge branch 'master' of github.com:snakers4/silero-vad

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adamnsandle
2020-12-15 14:05:18 +00:00
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@@ -1,8 +1,8 @@
[![Mailing list : test](http://img.shields.io/badge/Email-gray.svg?style=for-the-badge&logo=gmail)](mailto:hello@silero.ai) [![Mailing list : test](http://img.shields.io/badge/Telegram-blue.svg?style=for-the-badge&logo=telegram)](https://t.me/joinchat/Bv9tjhpdXTI22OUgpOIIDg) [![License: CC BY-NC 4.0](https://img.shields.io/badge/License-MIT-lightgrey.svg?style=for-the-badge)](https://github.com/snakers4/silero-models/blob/master/LICENSE) [![Mailing list : test](http://img.shields.io/badge/Email-gray.svg?style=for-the-badge&logo=gmail)](mailto:hello@silero.ai) [![Mailing list : test](http://img.shields.io/badge/Telegram-blue.svg?style=for-the-badge&logo=telegram)](https://t.me/joinchat/Bv9tjhpdXTI22OUgpOIIDg) [![License: CC BY-NC 4.0](https://img.shields.io/badge/License-MIT-lightgrey.svg?style=for-the-badge)](https://github.com/snakers4/silero-models/blob/master/LICENSE)
[![Open on Torch Hub](https://img.shields.io/badge/Torch-Hub-red?logo=pytorch&style=for-the-badge)](https://pytorch.org/hub/snakers4_silero-models_stt/) [![Open on TF Hub](https://img.shields.io/badge/TF-Hub-yellow?logo=tensorflow&style=for-the-badge)](https://tfhub.dev/silero/collections/silero-stt/1) [![Open on Torch Hub](https://img.shields.io/badge/Torch-Hub-red?logo=pytorch&style=for-the-badge)](https://pytorch.org/hub/snakers4_silero-vad/)
[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/snakers4/silero-models/blob/master/examples.ipynb) [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/snakers4/silero-vad/blob/master/silero-vad.ipynb)
![header)](https://user-images.githubusercontent.com/12515440/89997349-b3523080-dc94-11ea-9906-ca2e8bc50535.png) ![header)](https://user-images.githubusercontent.com/12515440/89997349-b3523080-dc94-11ea-9906-ca2e8bc50535.png)
@@ -56,14 +56,15 @@ Currently we provide the following checkpoints:
| | PyTorch | ONNX | Quantization | Languages | Colab | | | PyTorch | ONNX | Quantization | Languages | Colab |
|-----------------|--------------------|--------------------|--------------|---------|-------| |-----------------|--------------------|--------------------|--------------|---------|-------|
| VAD v1 (vad_v1) | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | `ru`, `en`, `de`, `es` | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/snakers4/silero-models/blob/master/examples.ipynb) | | VAD v1 (vad_v1) | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | `ru`, `en`, `de`, `es` |
[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/snakers4/silero-vad/blob/master/silero-vad.ipynb) |
### PyTorch ### PyTorch
[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/snakers4/silero-models/blob/master/examples.ipynb) [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/snakers4/silero-vad/blob/master/silero-vad.ipynb)
[![Open on Torch Hub](https://img.shields.io/badge/Torch-Hub-red?logo=pytorch&style=for-the-badge)](https://pytorch.org/hub/snakers4_silero-models_stt/) [![Open on Torch Hub](https://img.shields.io/badge/Torch-Hub-red?logo=pytorch&style=for-the-badge)](https://pytorch.org/hub/snakers4_silero-vad/)
```python ```python
import torch import torch
@@ -94,7 +95,7 @@ for example in output:
### ONNX ### ONNX
[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/snakers4/silero-models/blob/master/examples.ipynb) [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/snakers4/silero-vad/blob/master/silero-vad.ipynb)
You can run our model everywhere, where you can import the ONNX model or run ONNX runtime. You can run our model everywhere, where you can import the ONNX model or run ONNX runtime.