[runtime] use the best pretrained models for runtime (#1658)

wenet-e2e · Jan 12, 2023 · 999f6ef · 999f6ef
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diff --git a/runtime/android/README.md b/runtime/android/README.md
@@ -13,12 +13,8 @@ This Android demo shows we can run on-device streaming ASR with WeNet. You can d
 
 You can use our pretrained model (click the following link to download):
 
-[AISHELL-1](https://wenet-1256283475.cos.ap-shanghai.myqcloud.com/models/aishell/20210601_u2%2B%2B_conformer_libtorch.tar.gz)
-| [AISHELL-2](https://wenet-1256283475.cos.ap-shanghai.myqcloud.com/models/aishell2/20210618_u2pp_conformer_libtorch.tar.gz)
-| [GigaSpeech](https://wenet-1256283475.cos.ap-shanghai.myqcloud.com/models/gigaspeech/20210728_u2pp_conformer_libtorch.tar.gz)
-| [LibriSpeech](https://wenet-1256283475.cos.ap-shanghai.myqcloud.com/models/librispeech/20210610_u2pp_conformer_libtorch.tar.gz)
-| [Multi-CN](https://wenet-1256283475.cos.ap-shanghai.myqcloud.com/models/multi_cn/20210815_unified_conformer_libtorch.tar.gz)
-
+[中文(WenetSpeech)](https://wenet-1256283475.cos.ap-shanghai.myqcloud.com/models/wenetspeech/wenetspeech_u2pp_conformer_libtorch_quant.tar.gz)
+| [English(GigaSpeech)](https://wenet-1256283475.cos.ap-shanghai.myqcloud.com/models/gigaspeech/gigaspeech_u2pp_conformer_libtorch_quant.tar.gz)
 
 Or you can train your own model using WeNet training pipeline on your data.
 

diff --git a/runtime/libtorch/README.md b/runtime/libtorch/README.md
@@ -6,11 +6,8 @@
 
 * Step 1. Download pretrained model(see the following link) or prepare your trained model.
 
-[AISHELL-1](https://wenet-1256283475.cos.ap-shanghai.myqcloud.com/models/aishell/20210601_u2%2B%2B_conformer_libtorch.tar.gz)
-| [AISHELL-2](https://wenet-1256283475.cos.ap-shanghai.myqcloud.com/models/aishell2/20210618_u2pp_conformer_libtorch.tar.gz)
-| [GigaSpeech](https://wenet-1256283475.cos.ap-shanghai.myqcloud.com/models/gigaspeech/20210728_u2pp_conformer_libtorch.tar.gz)
-| [LibriSpeech](https://wenet-1256283475.cos.ap-shanghai.myqcloud.com/models/librispeech/20210610_u2pp_conformer_libtorch.tar.gz)
-| [Multi-CN](https://wenet-1256283475.cos.ap-shanghai.myqcloud.com/models/multi_cn/20210815_unified_conformer_libtorch.tar.gz)
+[中文(WenetSpeech)](https://wenet-1256283475.cos.ap-shanghai.myqcloud.com/models/wenetspeech/wenetspeech_u2pp_conformer_libtorch.tar.gz)
+| [English(GigaSpeech)](https://wenet-1256283475.cos.ap-shanghai.myqcloud.com/models/gigaspeech/gigaspeech_u2pp_conformer_libtorch.tar.gz)
 
 
 * Step 2. Start docker websocket server. Here is a demo.