adding Yml into model card and prediction discription.

README.md

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+---
+language: Yorùbá, English
+datasets:
+- AI4D-Africa - Yorùbá Machine Translation Challenge
+tags:
+- text
+- machine-translation
+- language-translation
+- seq2seq
+- helsinki-nlp
+license: apache-2.0
+metrics:
+- ROUGE
+---
+## Predicting English Translation
+```python
+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**