For machine translation tasks, models based on the Transformer architecture have proven to be very effective. Below are some of the most popular and effective templates for translations:
MarianMT (Helsinki-NLP)
MarianMT is a series of translation models developed by the team at Helsinki-NLP.
These models are pre-trained on multiple language pairs and are efficient in terms of both accuracy and speed. Supports a large number of language pairs.
Pre-trained for many language combinations, making it versatile.
High-quality translations between different languages, including some less common ones.
Implementation: Available in Hugging Face under the name Helsinki-NLP/opus-mt-{src}-{tgt} where {src} and {tgt} They are the language codes.
M2M-100 (Facebook AI)
M2M-100 It is a multilingual translation model of Facebook AI which supports direct translation between 100 languages without the need for a pivot language like English.
Direct translation between many language pairs.
High performance in less common languages.
Ideal for translations between languages where English is not intermediate.
Available in Hugging Face as facebook/m2m100_418M and other model sizes.
T5 (Text-to-Text Transfer Transformer)
Google T5 is a very versatile model that can perform many tasks. NLP, including translation.
T5 is trained in a text-to-text format, where any task NLP, including translation, becomes a text generation problem. Great flexibility and versatility.
Good performance in multiple tasks NLP.
Translation along with other natural language processing tasks.
Available in Hugging Face as t5-small, t5-base, t5-large, and t5-3b.
mBART (Multilingual BART)
mBART is a multilingual extension of BART, trained in 25 languages. It is efficient for translation tasks and optimized for low-resource languages. Especially effective in low-resource languages.
Multilingual support in a single model. Translations between less represented languages and between language pairs that do not have much data available.
Available in Hugging Face as facebook/mbart-large-50.
IndicTrans (AI4Bharat)
IndicTrans is a model specifically trained for translations between Indian languages. It is an excellent option if you work with languages like Hindi, Tamil, Bengali, etc.
Specialized in Indian languages. It supports translations between various Indian languages without the need for English.
Translations related to Indian languages. Available in Hugging Face as ai4bharat/IndicTrans.
Models like T5 and mBART They can be very large and require a lot of computing power. If you are limited on resources, smaller models like MarianMT They could be more practical.
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