游雁
2024-04-29 f57b68121a526baea43b2e93f4540d8a2995f633
examples/industrial_data_pretraining/whisper/demo.py
@@ -3,11 +3,28 @@
# 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="iic/Whisper-large-v3",
                  model_revision="v2.0.4",
                  )
model = AutoModel(
    model="iic/Whisper-large-v3",
    vad_model="iic/speech_fsmn_vad_zh-cn-16k-common-pytorch",
    vad_kwargs={"max_single_segment_time": 30000},
)
res = model.generate(input="https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_zh.wav", language=None)
DecodingOptions = {
    "task": "transcribe",
    "language": None,
    "beam_size": None,
    "fp16": True,
    "without_timestamps": False,
    "prompt": None,
}
res = model.generate(
    DecodingOptions=DecodingOptions,
    batch_size_s=0,
    input="https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_zh.wav",
)
print(res)