Instructions to use Enutrof/marian-mt-en-pcm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Enutrof/marian-mt-en-pcm with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Enutrof/marian-mt-en-pcm") model = AutoModelForSeq2SeqLM.from_pretrained("Enutrof/marian-mt-en-pcm") - Notebooks
- Google Colab
- Kaggle
marian-mt-en-pcm
source language: en (English)
target language: pcm (Nigerian Pidgin)
dataset: Parallel Sentences from the message translation (English) and Pidgin translation of the Bible.
model: transformer-align
pre-processing: normalization + SentencePiece
Performance
| test set | BLEU |
|---|---|
| 20% of the bible data | 22 |
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