🚀 音频转录模型运行指南
本指南将详细介绍如何安装必要的工具和依赖项,并运行音频转录模型。
🚀 快速开始
安装Chocolatey
在命令提示符(CMD)中运行以下命令来安装Chocolatey:
@"%SystemRoot%\System32\WindowsPowerShell\v1.0\powershell.exe" -NoProfile -InputFormat None -ExecutionPolicy Bypass -Command "[System.Net.ServicePointManager]::SecurityProtocol = 3072; iex ((New-Object System.Net.WebClient).DownloadString('https://community.chocolatey.org/install.ps1'))" && SET "PATH=%PATH%;%ALLUSERSPROFILE%\chocolatey\bin"
安装FFmpeg
安装Chocolatey后,在CMD中运行以下命令来安装FFmpeg:
choco install ffmpeg
安装Python依赖项
在Python集成开发环境(IDE)中运行以下命令来安装所需的依赖项:
pip install --upgrade pip
pip install --upgrade git+https://github.com/huggingface/transformers.git accelerate datasets[audio]
模型推理
运行以下代码来进行模型推理:
import torch
from transformers import AutoModelForSpeechSeq2Seq, AutoProcessor, pipeline
device = "cuda:0" if torch.cuda.is_available() else "cpu"
torch_dtype = torch.float16 if torch.cuda.is_available() else torch.float32
model_id = "washeed/audio-transcribe"
model = AutoModelForSpeechSeq2Seq.from_pretrained(
model_id, torch_dtype=torch_dtype, low_cpu_mem_usage=True, use_safetensors=True
)
model.to(device)
processor = AutoProcessor.from_pretrained(model_id)
pipe = pipeline(
"automatic-speech-recognition",
model=model,
tokenizer=processor.tokenizer,
feature_extractor=processor.feature_extractor,
max_new_tokens=128,
chunk_length_s=30,
batch_size=16,
return_timestamps=True,
torch_dtype=torch_dtype,
device=device,
)
result = pipe("audio.mp3")
print(result["text"])
转录而非翻译
如果您想进行转录而不是翻译,只需将以下代码:
result = pipe("audio.mp3")
替换为:
result = pipe("inference.mp3", generate_kwargs={"task": "transcribe"})