chore: import upstream snapshot with attribution

This commit is contained in:
wehub-resource-sync
2026-07-13 13:25:10 +08:00
commit c397331b1e
3684 changed files with 990993 additions and 0 deletions
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#!/usr/bin/env python3
# -*- encoding: utf-8 -*-
# Copyright FunASR (https://github.com/alibaba-damo-academy/FunASR). All Rights Reserved.
# MIT License (https://opensource.org/licenses/MIT)
from funasr import AutoModel
multilingual_wavs = [
"example_zh-CN.mp3",
"example_en.mp3",
"example_ja.mp3",
"example_ko.mp3",
]
model = AutoModel(model="iic/speech_whisper-large_lid_multilingual_pytorch")
for wav_id in multilingual_wavs:
wav_file = f"{model.model_path}/examples/{wav_id}"
res = model.generate(input=wav_file, data_type="sound", inference_clip_length=250)
print("detect sample {}: {}".format(wav_id, res))
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#!/usr/bin/env python3
# -*- encoding: utf-8 -*-
# Copyright FunASR (https://github.com/alibaba-damo-academy/FunASR). All Rights Reserved.
# MIT License (https://opensource.org/licenses/MIT)
from modelscope.pipelines import pipeline
from modelscope.utils.constant import Tasks
multilingual_wavs = [
"https://www.modelscope.cn/api/v1/models/iic/speech_whisper-large_lid_multilingual_pytorch/repo?Revision=master&FilePath=examples/example_zh-CN.mp3",
"https://www.modelscope.cn/api/v1/models/iic/speech_whisper-large_lid_multilingual_pytorch/repo?Revision=master&FilePath=examples/example_en.mp3",
"https://www.modelscope.cn/api/v1/models/iic/speech_whisper-large_lid_multilingual_pytorch/repo?Revision=master&FilePath=examples/example_ja.mp3",
"https://www.modelscope.cn/api/v1/models/iic/speech_whisper-large_lid_multilingual_pytorch/repo?Revision=master&FilePath=examples/example_ko.mp3",
]
inference_pipeline = pipeline(
task=Tasks.auto_speech_recognition, model="iic/speech_whisper-large_lid_multilingual_pytorch"
)
for wav in multilingual_wavs:
rec_result = inference_pipeline(input=wav, inference_clip_length=250)
print(rec_result)