File size: 1,773 Bytes
007bee8 139b8fc 007bee8 139b8fc 15527fa 139b8fc 007bee8 139b8fc 15527fa 139b8fc 007bee8 15527fa 007bee8 139b8fc 007bee8 15527fa 139b8fc 007bee8 139b8fc feb1603 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 |
# to run
simply install chocolatey run this on 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 in your device using choco install by running this on cmd after:
```
choco install ffmpeg
```
# install dependencies in python IDE using:
```
pip install --upgrade pip
pip install --upgrade git+https://github.com/huggingface/transformers.git accelerate datasets[audio]
```
# then lastly to inference the model:
```
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"])
```
# if you want to transcribe instead of translating just replace the :
```result = pipe("audio.mp3")```
# with
``` result = pipe("inference.mp3", generate_kwargs={"task": "transcribe"})```
|