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🇺🇸

Original

English
🇨🇳

Translation

Chinese

Translation with Mayura

基于Mayura的翻译

Mayura is Sarvam AI's translation model optimized for Indian languages with support for script variations, numeral formats, and code-mixed text.
Mayura是Sarvam AI专为印度语言优化的翻译模型，支持脚本变体、数字格式和混合代码文本。

Installation

安装

bash
pip install sarvamai
bash
pip install sarvamai

Quick Start

快速开始

python
from sarvamai import SarvamAI

client = SarvamAI()

response = client.translate.translate(
    input="Hello, how are you?",
    source_language_code="en-IN",
    target_language_code="hi-IN",
    model="mayura:v1"
)

print(response.translated_text)  # "नमस्ते, आप कैसे हैं?"
python
from sarvamai import SarvamAI

client = SarvamAI()

response = client.translate.translate(
    input="Hello, how are you?",
    source_language_code="en-IN",
    target_language_code="hi-IN",
    model="mayura:v1"
)

print(response.translated_text)  # "नमस्ते, आप कैसे हैं?"

Supported Languages

支持的语言

CodeLanguageCodeLanguage
hi-IN
Hindi
ta-IN
Tamil
bn-IN
Bengali
te-IN
Telugu
kn-IN
Kannada
ml-IN
Malayalam
mr-IN
Marathi
gu-IN
Gujarati
pa-IN
Punjabi
or-IN
Odia
en-IN
English
auto
Auto-detect
代码语言代码语言
hi-IN
印地语
ta-IN
泰米尔语
bn-IN
孟加拉语
te-IN
泰卢固语
kn-IN
卡纳达语
ml-IN
马拉雅拉姆语
mr-IN
马拉地语
gu-IN
古吉拉特语
pa-IN
旁遮普语
or-IN
奥里亚语
en-IN
英语
auto
自动检测

Translation Directions

翻译方向

  • English → Indian Language: Translate English to any supported Indian language
  • Indian Language → English: Translate any Indian language to English
  • Indian → Indian: Translate between Indian languages (via English pivot)
  • 英语 → 印度语言： 将英语翻译为任何支持的印度语言
  • 印度语言 → 英语： 将任何印度语言翻译为英语
  • 印度语言 → 印度语言： 在印度语言之间进行翻译（以英语为中转）

Translation Modes

翻译模式

Formal Translation

正式翻译

python
response = client.translate.translate(
    input="Please submit the report by Friday",
    source_language_code="en-IN",
    target_language_code="hi-IN",
    model="mayura:v1",
    mode="formal"
)
python
response = client.translate.translate(
    input="Please submit the report by Friday",
    source_language_code="en-IN",
    target_language_code="hi-IN",
    model="mayura:v1",
    mode="formal"
)

Casual Translation

非正式翻译

python
response = client.translate.translate(
    input="Hey, what's up?",
    source_language_code="en-IN",
    target_language_code="hi-IN",
    model="mayura:v1",
    mode="casual"
)
python
response = client.translate.translate(
    input="Hey, what's up?",
    source_language_code="en-IN",
    target_language_code="hi-IN",
    model="mayura:v1",
    mode="casual"
)

Script Control

脚本控制

Choose the output script for languages with multiple scripts:
python
undefined
为有多脚本的语言选择输出脚本：
python
undefined

Hindi in Devanagari (default)

天城文印地语（默认）

response = client.translate.translate( input="Hello", source_language_code="en-IN", target_language_code="hi-IN", output_script="devanagari" )
response = client.translate.translate( input="Hello", source_language_code="en-IN", target_language_code="hi-IN", output_script="devanagari" )

Output: "नमस्ते"

输出："नमस्ते"

Hindi in Latin (transliteration)

拉丁化印地语（音译）

response = client.translate.translate( input="Hello", source_language_code="en-IN", target_language_code="hi-IN", output_script="latin" )
response = client.translate.translate( input="Hello", source_language_code="en-IN", target_language_code="hi-IN", output_script="latin" )

Output: "Namaste"

输出："Namaste"

undefined
undefined

Numeral Format

数字格式

Control numeral representation:
python
undefined
控制数字的显示格式：
python
undefined

International numerals (default)

国际数字格式（默认）

response = client.translate.translate( input="The price is 500 rupees", source_language_code="en-IN", target_language_code="hi-IN", numeral_format="international" )
response = client.translate.translate( input="The price is 500 rupees", source_language_code="en-IN", target_language_code="hi-IN", numeral_format="international" )

Output: "कीमत 500 रुपये है"

输出："कीमत 500 रुपये है"

Native numerals

本地数字格式

response = client.translate.translate( input="The price is 500 rupees", source_language_code="en-IN", target_language_code="hi-IN", numeral_format="native" )
response = client.translate.translate( input="The price is 500 rupees", source_language_code="en-IN", target_language_code="hi-IN", numeral_format="native" )

Output: "कीमत ५०० रुपये है"

输出："कीमत ५०० रुपये है"

undefined
undefined

Code-Mixed Input

混合代码输入

Mayura handles code-mixed text (e.g., Hinglish):
python
response = client.translate.translate(
    input="Yaar, let's go for a movie tonight",
    source_language_code="auto",  # Auto-detect
    target_language_code="hi-IN",
    model="mayura:v1"
)
Mayura支持处理混合代码文本（如印英混合语Hinglish）：
python
response = client.translate.translate(
    input="Yaar, let's go for a movie tonight",
    source_language_code="auto",  # 自动检测
    target_language_code="hi-IN",
    model="mayura:v1"
)

Output: "यार, चलो आज रात फिल्म देखने चलते हैं"

输出："यार, चलो आज रात फिल्म देखने चलते हैं"

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undefined

Batch Translation

批量翻译

Translate multiple texts:
python
texts = [
    "Hello",
    "How are you?",
    "Thank you"
]

responses = []
for text in texts:
    response = client.translate.translate(
        input=text,
        source_language_code="en-IN",
        target_language_code="hi-IN",
        model="mayura:v1"
    )
    responses.append(response.translated_text)

print(responses)
翻译多条文本：
python
texts = [
    "Hello",
    "How are you?",
    "Thank you"
]

responses = []
for text in texts:
    response = client.translate.translate(
        input=text,
        source_language_code="en-IN",
        target_language_code="hi-IN",
        model="mayura:v1"
    )
    responses.append(response.translated_text)

print(responses)

[

[

"नमस्ते", "आप कैसे हैं?", "धन्यवाद" ]
undefined
"नमस्ते", "आप कैसे हैं?", "धन्यवाद" ]
undefined

JavaScript

JavaScript示例

javascript
import { SarvamAI
} from "sarvamai";

const client = new SarvamAI();

const response = await client.translate.translate({
  input: "Hello, how are you?",
  sourceLanguageCode: "en-IN",
  targetLanguageCode: "hi-IN",
  model: "mayura:v1"
});

console.log(response.translatedText);
javascript
import { SarvamAI
} from "sarvamai";

const client = new SarvamAI();

const response = await client.translate.translate({
  input: "Hello, how are you?",
  sourceLanguageCode: "en-IN",
  targetLanguageCode: "hi-IN",
  model: "mayura:v1"
});

console.log(response.translatedText);

cURL

cURL示例

bash
curl -X POST "https://api.sarvam.ai/translate" \
  -H "api-subscription-key: $SARVAM_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "input": "Hello, how are you?",
    "source_language_code": "en-IN",
    "target_language_code": "hi-IN",
    "model": "mayura:v1"
}'
bash
curl -X POST "https://api.sarvam.ai/translate" \
  -H "api-subscription-key: $SARVAM_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "input": "Hello, how are you?",
    "source_language_code": "en-IN",
    "target_language_code": "hi-IN",
    "model": "mayura:v1"
}'

Parameters

参数说明

ParameterTypeRequiredDescription
input
stringYesText to translate
source_language_code
stringYesSource language or 
auto
target_language_code
stringYesTarget language code
model
stringYes
mayura:v1
mode
stringNo
formal
or 
casual
output_script
stringNo
devanagari
, 
latin
, etc.
numeral_format
stringNo
international
or 
native
参数类型是否必填描述
input
string是需要翻译的文本
source_language_code
string是源语言代码或
auto
target_language_code
string是目标语言代码
model
string是
mayura:v1
mode
string否
formal
（正式）或
casual
（非正式）
output_script
string否
devanagari
（天城文）、
latin
（拉丁字母）等
numeral_format
string否
international
（国际格式）或
native
（本地格式）

Response

返回结果

json
{
    "request_id": "abc123",
    "translated_text": "नमस्ते, आप कैसे हैं?",
    "source_language_code": "en-IN",
    "target_language_code": "hi-IN"
}
See references/languages.md for language-specific notes.
json
{
    "request_id": "abc123",
    "translated_text": "नमस्ते, आप कैसे हैं?",
    "source_language_code": "en-IN",
    "target_language_code": "hi-IN"
}
有关语言的详细说明，请查看references/languages.md 。