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YAML Metadata Error: "datasets[0]" with value "AI4D-Africa - Yorùbá Machine Translation Challenge" is not valid. It should not contain any whitespace. If possible, use a dataset id from the huggingface Hub.
YAML Metadata Error: "language" must only contain lowercase characters
YAML Metadata Error: "language" with value "Yorùbá" is not valid. It must be an ISO 639-1, 639-2 or 639-3 code (two/three letters), or a special value like "code", "multilingual". If you want to use BCP-47 identifiers, you can specify them in language_bcp47.

Predicting English Translation

from transformers import AutoTokenizer, AutoModelForSeq2SeqLM

# Loading tokenizer and model
tokenizer = AutoTokenizer.from_pretrained("kingabzpro/Helsinki-NLP-opus-yor-mul-en")
model = AutoModelForSeq2SeqLM.from_pretrained("kingabzpro/Helsinki-NLP-opus-yor-mul-en").to('cuda')

# Prediction
a = model.generate(**tokenizer.prepare_seq2seq_batch('Nínú ìpè kan lẹ́yìn ìgbà náà, wọ́n sọ fún aṣojú iléeṣẹ́ BlaBlaCar pé ètò náà ti yí padà, pé',return_tensors='pt').to('cuda'))
text = tokenizer.batch_decode(a)

# Cleaning text
text = str(text)
text = re.sub("<pad> ","",text)
text = re.sub("'","",text)
text = text.replace("[", "")
text = text.replace("]", "")
text

Result

'In a statement after that hearing, the BualaCard’s representative was told that the event had changed, that he had turned up.'

ROGUE Score

0.3025

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