Marefa Mt En Ar

🚀 Marefa-Mt-En-Ar

A knowledge model for machine translation from English to Arabic

🚀 Quick Start

This model is designed for translating English to Arabic. It takes into consideration the use of additional Arabic characters such as پ or گ.

✨ Features

• It is the first machine - translation model released under the auspices of Marefa Encyclopedia.
• It supports additional Arabic Abjad characters to distinguish specific phonetics in English, like پ and گ.
• You can visit this page to learn more about the usage of these additional Arabic Abjad characters.

📦 Installation

Install transformers and sentencepiece (python >= 3.6)

$ pip3 install transformers==4.3.0 sentencepiece==0.1.95 nltk==3.5 protobuf==3.15.3 torch==1.7.1

⚠️ Important Note

If you are using Google Colab, please restart your runtime after installing the packages.

💻 Usage Examples

Basic Usage

from transformers import MarianTokenizer, MarianMTModel
mname = "marefa-nlp/marefa-mt-en-ar"
tokenizer = MarianTokenizer.from_pretrained(mname)
model = MarianMTModel.from_pretrained(mname)

# English Sample Text
input = "President Putin went to the presidential palace in the capital, Kiev"

translated_tokens = model.generate(**tokenizer.prepare_seq2seq_batch([input], return_tensors="pt"))
translated_text = [tokenizer.decode(t, skip_special_tokens=True) for t in translated_tokens]

# translated Arabic Text
print(translated_text)
# ذهب الرئيس پوتن إلى القصر الرئاسي في العاصمة كييڤ

📄 License

This model is licensed under the apache - 2.0 license.

Information Table