chunked/nltk_chunking/_pipeline_tutorial/chunk_52.txt

from transformers.pipelines.pt_utils import KeyDataset
from datasets import load_dataset
pipe = pipeline(model="hf-internal-testing/tiny-random-wav2vec2", device=0)
dataset = load_dataset("hf-internal-testing/librispeech_asr_dummy", "clean", split="validation[:10]")
for out in pipe(KeyDataset(dataset, "audio")):
    print(out)

Using pipelines for a webserver

Creating an inference engine is a complex topic which deserves it's own
page.