From e04489ce4c0fd0095d0c79ef8f504f425e0435a8 Mon Sep 17 00:00:00 2001
From: Shi Xian <40013335+R1ckShi@users.noreply.github.com>
Date: 星期三, 13 三月 2024 16:34:42 +0800
Subject: [PATCH] contextual&seaco ONNX export (#1481)

---
 examples/industrial_data_pretraining/whisper/demo_from_openai.py |    6 ++++--
 1 files changed, 4 insertions(+), 2 deletions(-)

diff --git a/examples/industrial_data_pretraining/whisper/demo_from_openai.py b/examples/industrial_data_pretraining/whisper/demo_from_openai.py
index 0b88a95..2ee8ad5 100644
--- a/examples/industrial_data_pretraining/whisper/demo_from_openai.py
+++ b/examples/industrial_data_pretraining/whisper/demo_from_openai.py
@@ -3,12 +3,14 @@
 # Copyright FunASR (https://github.com/alibaba-damo-academy/FunASR). All Rights Reserved.
 #  MIT License  (https://opensource.org/licenses/MIT)
 
+# To install requirements: pip3 install -U openai-whisper
+
 from funasr import AutoModel
 
 # model = AutoModel(model="Whisper-small", hub="openai")
 # model = AutoModel(model="Whisper-medium", hub="openai")
-model = AutoModel(model="Whisper-large-v2", hub="openai")
-# model = AutoModel(model="Whisper-large-v3", hub="openai")
+# model = AutoModel(model="Whisper-large-v2", hub="openai")
+model = AutoModel(model="Whisper-large-v3", hub="openai")
 
 res = model.generate(
 	language=None,

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