Instructions to use NITHUB-AI/marian-mt-bbc-pcm-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NITHUB-AI/marian-mt-bbc-pcm-en with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("NITHUB-AI/marian-mt-bbc-pcm-en") model = AutoModelForSeq2SeqLM.from_pretrained("NITHUB-AI/marian-mt-bbc-pcm-en") - Notebooks
- Google Colab
- Kaggle
Marian-MT-BBC-PCM-EN
source language: pcm (Nigerian Pidgin)
target language: en (English)
dataset:
- Parallel Sentences from the message translation (English) and Pidgin translation of the Bible.
- Pidgin sentences from BBC Pidgin and English translation by GPT3.5-turbo
model: transformer-align
pre-processing: normalization + SentencePiece
Performance
TBA
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