Esmail-ibraheem/Transformer-pytorch

Language to Language Transformer model from scartch using pure Pytorch where I used my transformer model for translation task. from the paper "Attention is all you Need" 2017 using pytorch.

34
/ 100
Emerging

This project helps quickly translate text from Arabic to English, ensuring the meaning, context, and grammar are preserved. You input Arabic text, and it outputs the corresponding English translation. This is useful for anyone needing to bridge communication gaps between these two languages, like content creators, researchers, or international business professionals.

No commits in the last 6 months.

Use this if you need to translate Arabic text to English and want a model that focuses on semantic accuracy and contextual understanding.

Not ideal if you need to translate between languages other than Arabic and English, or if you require extremely high precision for critical legal or medical documents.

machine-translation language-localization cross-cultural-communication multilingual-content
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 16 / 25
Community 13 / 25

How are scores calculated?

Stars

9

Forks

2

Language

Jupyter Notebook

License

MIT

Last pushed

Sep 04, 2024

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/llm-tools/Esmail-ibraheem/Transformer-pytorch"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.