From ec52bc3aff8424c9c6f6992606b462af053e9b08 Mon Sep 17 00:00:00 2001 From: shixian.shi <shixian.shi@alibaba-inc.com> Date: 星期四, 30 三月 2023 17:04:15 +0800 Subject: [PATCH] update demo.py --- funasr/runtime/python/onnxruntime/demo.py | 6 +++--- funasr/runtime/python/libtorch/demo.py | 6 +++--- 2 files changed, 6 insertions(+), 6 deletions(-) diff --git a/funasr/runtime/python/libtorch/demo.py b/funasr/runtime/python/libtorch/demo.py index 251d36d..b81aca6 100644 --- a/funasr/runtime/python/libtorch/demo.py +++ b/funasr/runtime/python/libtorch/demo.py @@ -2,7 +2,7 @@ #model_dir = "/Users/shixian/code/funasr/export/damo/speech_paraformer-large-vad-punc_asr_nat-zh-cn-16k-common-vocab8404-pytorch" model_dir = "/Users/shixian/code/funasr/export/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch" -model = Paraformer(model_dir, batch_size=2, pred_bias=1) +model = Paraformer(model_dir, batch_size=2) # when using paraformer-tiny-commandword_asr_nat-zh-cn-16k-vocab544-pytorch, you should set pred_bias=0 # plot_timestamp_to works only when using speech_paraformer-large-vad-punc_asr_nat-zh-cn-16k-common-vocab8404-pytorch @@ -11,8 +11,8 @@ # when using paraformer-large-vad-punc model, you can set plot_timestamp_to="./xx.png" to get figure of alignment besides timestamps # model_dir = "/Users/shixian/code/funasr/export/damo/speech_paraformer-large-vad-punc_asr_nat-zh-cn-16k-common-vocab8404-pytorch" -# model = Paraformer(model_dir, batch_size=1, pred_bias=1) -# model = Paraformer(model_dir, batch_size=1, plot_timestamp_to="test.png", pred_bias=1) +# model = Paraformer(model_dir, batch_size=1) +# model = Paraformer(model_dir, batch_size=1, plot_timestamp_to="test.png") wav_path = "YourPath/xx.wav" diff --git a/funasr/runtime/python/onnxruntime/demo.py b/funasr/runtime/python/onnxruntime/demo.py index a9111c1..351b702 100644 --- a/funasr/runtime/python/onnxruntime/demo.py +++ b/funasr/runtime/python/onnxruntime/demo.py @@ -2,7 +2,7 @@ #model_dir = "/Users/shixian/code/funasr/export/damo/speech_paraformer-large-vad-punc_asr_nat-zh-cn-16k-common-vocab8404-pytorch" model_dir = "/Users/shixian/code/funasr/export/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch" -model = Paraformer(model_dir, batch_size=2, pred_bias=1) +model = Paraformer(model_dir, batch_size=2) # when using paraformer-tiny-commandword_asr_nat-zh-cn-16k-vocab544-pytorch, you should set pred_bias=0 # plot_timestamp_to works only when using speech_paraformer-large-vad-punc_asr_nat-zh-cn-16k-common-vocab8404-pytorch @@ -11,8 +11,8 @@ # when using paraformer-large-vad-punc model, you can set plot_timestamp_to="./xx.png" to get figure of alignment besides timestamps # model_dir = "/Users/shixian/code/funasr/export/damo/speech_paraformer-large-vad-punc_asr_nat-zh-cn-16k-common-vocab8404-pytorch" -# model = Paraformer(model_dir, batch_size=1, pred_bias=1) -# model = Paraformer(model_dir, batch_size=1, plot_timestamp_to="test.png", pred_bias=1) +# model = Paraformer(model_dir, batch_size=1) +# model = Paraformer(model_dir, batch_size=1, plot_timestamp_to="test.png") wav_path = "YourPath/xx.wav" -- Gitblit v1.9.1