游雁
2024-03-18 d3d2fe73c08ee51d3a44d7ffb7b31eff32b60404
examples/industrial_data_pretraining/whisper/demo_from_openai.py
@@ -3,15 +3,18 @@
# 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", vad_model="iic/speech_fsmn_vad_zh-cn-16k-common-pytorch",)
res = model.generate(
   language=None,
   task="transcribe",
   batch_size_s=0,
   input="https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_zh.wav")
print(res)