T5-large

Translation API

The Translation API endpoint allows you to translate English text into another language.

Introduction

The translation is a Machine Learning task that uses artificial neural networks to translate text from one language to another. This API offers a multilingual model that translates the input text from a source language to a target language.

AI Endpoints makes it easy, with ready-to-use inference APIs. Discover how to use them:

Model concept and configuration

This Translation API is based on an Open-Source model: google-t5/t5-large. It takes English text as input and returns its translation into an other language.

Model configuration

• Input type: Raw text
• Input language: English
• Output language: French, Romanian, German

Warning: Note that you will have to use English source language and precise the target language in the model URL (e.g. French) as follows: https://t5-large.endpoints.kepler.ai.cloud.ovh.net/api/translate?from=English&target=French

How to?

The Translation endpoint offers you an optimized way to translate English text into an other language. Learn how to use them with the following example:

With a simple HTTP client (requests)

First install the requests library:

pip install requests

Next, export your access token to the OVH_AI_ENDPOINTS_ACCESS_TOKEN environment variable:

export OVH_AI_ENDPOINTS_ACCESS_TOKEN=<your-access-token>

If you do not have an access token key yet, follow the instructions in the AI Endpoints – Getting Started.

Finally, run the following Python code to get your translation:

import os
import requests

target_language = "French"

url = f"https://t5-large.endpoints.kepler.ai.cloud.ovh.net/api/translate?from=English&target={target_language}"
text = "Brian is in the kitchen"
 
headers = {
    "Content-Type": "text/plain",
    "Authorization": f"Bearer {os.getenv('OVH_AI_ENDPOINTS_ACCESS_TOKEN')}",
}

response = requests.post(url, data=text, headers=headers)
if response.status_code == 200:
    # Handle response
    response_data = response.text
    print(response_data)
else:
    print("Error:", response.status_code, response.text)

Model rate limit

When using AI Endpoints, the following rate limits apply:

• Anonymous: 2 requests per minute, per IP and per model.
• Authenticated with an API access key: 400 requests per minute, per Public Cloud project and per model.

If you exceed this limit, a 429 error code will be returned.

If you require higher usage, please get in touch with us to discuss increasing your rate limits.

Going Further

For a broader overview of AI Endpoints, explore the full AI Endpoints Documentation.

Reach out to our support team or join the OVHcloud Discord #ai-endpoints channel to share your questions, feedback, and suggestions for improving the service, to the team and the community.