Global Sourcing Brief

Search:

DAY

WEEK

MONTH

YEAR

Select your country:
Sign up | Log in

pt-en

Translating Different Content Types Using Helsinki-NLP ML Model from Hugging Face

Perficient Digital Transformation

SEPTEMBER 3, 2023

from transformers import MarianMTModel, MarianTokenizer model_name = "Helsinki-NLP/opus-mt-en-fr" model = MarianMTModel.from_pretrained(model_name) tokenizer = MarianTokenizer.from_pretrained(model_name) Tokenize the input: Before translating the text, we need to tokenize it using the appropriate tokenizer.

Sourcing

Sourcing Management Analytics

AEM Feature – Author Preview Servlet

Perficient Digital Transformation

NOVEMBER 1, 2021

For example, using our default endpoint, preview.html, we could render the we-retail root page with the following: /preview.html/content/we-retail/us/en/men.html. Rewrite /(.*) /preview.html/(.*) [PT,L]. This servlet will listen on given endpoint, and from the passed in suffix, determine what content to render. html Rewrite /.+.html/(.*)

Retail

Retail Service Accounting Collaborations

Translating Different Content Types Using Helsinki-NLP ML Model from Hugging Face

AEM Feature – Author Preview Servlet

Stay Connected