---
library_name: transformers
tags: []
widget: 
- text: "পদ্মা, মেঘনা, যমুনা আমাদের জাতীয় নদী। এদের মধ্যে পদ্মা সবথেকে বৃহৎ। </s>"
  max_new_length: 512
---

# To infer this snippet can be followed:

```python
import torch
from transformers import pipeline
from transformers import T5ForConditionalGeneration, AutoTokenizer, DataCollatorForSeq2Seq

model_id = "https://huggingface.co./Sibgat-Ul/byt5_text_to_ipa/"

model = T5ForConditionalGeneration.from_pretrained(model_id)
tokenizer = AutoTokenizer.from_pretrained(model_id)

device = 'cuda' if torch.cuda.is_available() else 'cpu'

pipe = pipeline(task='text2text-generation', model=model, tokenizer=tokenizer, device=device)

output = pipe('পদ্মা, মেঘনা, যমুনা আমাদের জাতীয় নদী। এদের মধ্যে পদ্মা সবথেকে বৃহৎ। </s>', max_new_tokens=512)
print(output[0]['generated_text'])
```

```bash
pɔd̪mɐ megʱnɐ ɟomunɐ ɐmɐd̪eɾ ɟɐt̪ɪʲo nod̪ɪ। ed̪eɾ mod̪d̪ʱe pɔd̪mɐ ʃɔbt̪ʰeke bɾɪhɔt̪। 
```

# Model Card for Model ID

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