本文主要是介绍从Hugging Face下载数据测试whisper、fast_whisper耗时，希望对大家解决编程问题提供一定的参考价值，需要的开发者们随着小编来一起学习吧！
时长比较短的音频：https://huggingface.co/datasets/PolyAI/minds14/viewer/en-US
时长比较长的音频：https://huggingface.co/datasets/librispeech_asr?row=8
下载数据集
from datasets import load_datasetminds_14 = load_dataset("PolyAI/minds14", "en-US", split="train",cache_dir="./datasets") # for en-US
# to download all data for multi-lingual fine-tuning uncomment following line
# minds_14 = load_dataset("PolyAI/all", "all")# see structure
print(minds_14)# load audio sample on the fly
audio_input = minds_14[0]["audio"] # first decoded audio sample
intent_class = minds_14[0]["intent_class"] # first transcription
intent = minds_14.features["intent_class"].names[intent_class]# use audio_input and language_class to fine-tune your model for audio classification
使用whisper测试
使用fast whisper
下载安装
报错提示：
Could not load library libcudnn_ops_infer.so.8. Error: libcudnn_ops_infer.so.8: cannot open shared object file: No such file or directory
Please make sure libcudnn_ops_infer.so.8 is in your library path!
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