Audio Transcribe

🚀 to run

This project provides a straightforward process to set up and run the audio transcription model. Here are the detailed steps:

🚀 Quick Start

📦 Installation

First, you need to install Chocolatey. Run the following command in your CMD:

@"%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"

After that, install FFmpeg on your device using Chocolatey by running the following command in CMD:

choco install ffmpeg

Next, install the necessary dependencies in your Python IDE using the following commands:

pip install --upgrade pip
pip install --upgrade git+https://github.com/huggingface/transformers.git accelerate datasets[audio]

💻 Usage Examples

Basic Usage

To infer the model, use the following Python code:

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"])

Advanced Usage

If you want to transcribe instead of translating, simply replace the following line:

result = pipe("audio.mp3")

with

result = pipe("inference.mp3", generate_kwargs={"task": "transcribe"})