From 98717cb34110c35f6c6b65b8d5a4b9932cf3dd98 Mon Sep 17 00:00:00 2001
From: Utkarsha Gupte <89600822+UtkarshaGupte@users.noreply.github.com>
Date: Wed, 17 Apr 2024 02:27:49 -0700
Subject: [PATCH] Configuring Translation Pipelines documents update #27753
 (#29986)

* Configuring Translation Pipelines documents update #27753

Configuring Translation Pipelines documents update

* Language Format Addition

* adding supported list of languages list
---
 docs/source/en/tasks/translation.md | 5 ++++-
 docs/source/ja/tasks/translation.md | 5 ++++-
 docs/source/ko/tasks/translation.md | 5 ++++-
 3 files changed, 12 insertions(+), 3 deletions(-)

diff --git a/docs/source/en/tasks/translation.md b/docs/source/en/tasks/translation.md
index f0433a0dad..2316b19578 100644
--- a/docs/source/en/tasks/translation.md
+++ b/docs/source/en/tasks/translation.md
@@ -348,7 +348,10 @@ The simplest way to try out your finetuned model for inference is to use it in a
 ```py
 >>> from transformers import pipeline
 
->>> translator = pipeline("translation", model="my_awesome_opus_books_model")
+# Change `xx` to the language of the input and `yy` to the language of the desired output.
+# Examples: "en" for English, "fr" for French, "de" for German, "es" for Spanish, "zh" for Chinese, etc; translation_en_to_fr translates English to French
+# You can view all the lists of languages here - https://huggingface.co/languages
+>>> translator = pipeline("translation_xx_to_yy", model="my_awesome_opus_books_model")
 >>> translator(text)
 [{'translation_text': 'Legumes partagent des ressources avec des bactéries azotantes.'}]
 ```
diff --git a/docs/source/ja/tasks/translation.md b/docs/source/ja/tasks/translation.md
index fb2c89f385..187afe2687 100644
--- a/docs/source/ja/tasks/translation.md
+++ b/docs/source/ja/tasks/translation.md
@@ -349,7 +349,10 @@ TensorFlow でモデルを微調整するには、オプティマイザー関数
 ```py
 >>> from transformers import pipeline
 
->>> translator = pipeline("translation", model="my_awesome_opus_books_model")
+# Change `xx` to the language of the input and `yy` to the language of the desired output.
+# Examples: "en" for English, "fr" for French, "de" for German, "es" for Spanish, "zh" for Chinese, etc; translation_en_to_fr translates English to French
+# You can view all the lists of languages here - https://huggingface.co/languages
+>>> translator = pipeline("translation_xx_to_yy", model="my_awesome_opus_books_model")
 >>> translator(text)
 [{'translation_text': 'Legumes partagent des ressources avec des bactéries azotantes.'}]
 ```
diff --git a/docs/source/ko/tasks/translation.md b/docs/source/ko/tasks/translation.md
index 6de275f7d0..29560606be 100644
--- a/docs/source/ko/tasks/translation.md
+++ b/docs/source/ko/tasks/translation.md
@@ -346,7 +346,10 @@ TensorFlow에서 모델을 파인튜닝하려면 우선 optimizer 함수, 학습
 ```py
 >>> from transformers import pipeline
 
->>> translator = pipeline("translation", model="my_awesome_opus_books_model")
+# Change `xx` to the language of the input and `yy` to the language of the desired output. 
+# Examples: "en" for English, "fr" for French, "de" for German, "es" for Spanish, "zh" for Chinese, etc; translation_en_to_fr translates English to French
+# You can view all the lists of languages here - https://huggingface.co/languages
+>>> translator = pipeline("translation_xx_to_yy", model="my_awesome_opus_books_model")
 >>> translator(text)
 [{'translation_text': 'Legumes partagent des ressources avec des bactéries azotantes.'}]
 ```