MarianMT English to Kabyle Translation Model

This is a fine-tuned MarianMT model for translating from English (en) to Kabyle (kab), a northen african and a Tamaziɣt (Berber) language spoken primarily in Algeria.

Model Description

  • Model Type: MarianMT (Transformer-based Neural Machine Translation)
  • Architecture: Encoder-Decoder with 6 layers each
  • Languages: English (en) → Kabyle (kab)
  • Checkpoint: 24000 training steps
  • Framework: PyTorch / Transformers

Intended Use

  • Machine translation from English to Kabyle
  • Research in low-resource language translation
  • Applications supporting Kabyle language preservation and accessibility

How to Use

Quick Start with Pipeline

from transformers import pipeline

# Load the translation pipeline
translator = pipeline("translation", model="boffire/marianmt-en-kab", device=0)

# Translate text
result = translator("Hello, how are you?", max_length=128)
print(result[0]['translation_text'])
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Evaluation results