From 208f4c109a59030bcc1069c77e57d37193881ee4 Mon Sep 17 00:00:00 2001 From: Sylvain Gugger Date: Tue, 5 Apr 2022 14:12:01 -0400 Subject: [PATCH] Quality --- docs/source/en/task_summary.mdx | 4 +--- 1 file changed, 1 insertion(+), 3 deletions(-) diff --git a/docs/source/en/task_summary.mdx b/docs/source/en/task_summary.mdx index 55e4a230a1..17be519605 100644 --- a/docs/source/en/task_summary.mdx +++ b/docs/source/en/task_summary.mdx @@ -1030,9 +1030,7 @@ The following examples demonstrate how to use a [`pipeline`] and a model and tok ```py >>> from transformers import pipeline ->>> speech_recognizer = pipeline( -... task="automatic-speech-recognition", model="facebook/wav2vec2-base-960h" -... ) +>>> speech_recognizer = pipeline(task="automatic-speech-recognition", model="facebook/wav2vec2-base-960h") >>> speech_recognizer("jfk_moon_speech.wav") {'text': "PRESENTETE MISTER VICE PRESIDENT GOVERNOR CONGRESSMEN THOMAS SAN O TE WILAN CONGRESSMAN MILLA MISTER WEBB MSTBELL SCIENIS DISTINGUISHED GUESS AT LADIES AND GENTLEMAN I APPRECIATE TO YOUR PRESIDENT HAVING MADE ME AN HONORARY VISITING PROFESSOR AND I WILL ASSURE YOU THAT MY FIRST LECTURE WILL BE A VERY BRIEF I AM DELIGHTED TO BE HERE AND I'M PARTICULARLY DELIGHTED TO BE HERE ON THIS OCCASION WE MEED AT A COLLEGE NOTED FOR KNOWLEGE IN A CITY NOTED FOR PROGRESS IN A STATE NOTED FOR STRAINTH AN WE STAND IN NEED OF ALL THREE"} ```