from transformers import T5ForConditionalGeneration, T5TokenizerFast
t5_model = T5ForConditionalGeneration.from_pretrained('./pytorch_model')
tokenizer = T5TokenizerFast.from_pretrained('./')
text = 'বাংলার মুখ আমি দেখিয়াছি, তাই আমি পৃথিবীর রূপ খুঁজিতে যাই না'
tokenized = tokenizer(text, return_tensors='pt')
input_ids = tokenized.input_ids
attention_mask = tokenized.attention_mask
t5_model.eval()
beam_outputs = t5_model.generate(
    input_ids=input_ids,attention_mask=attention_mask,
    max_length=64,
    early_stopping=True,
    num_beams=10,
    num_return_sequences=3,
    no_repeat_ngram_size=2
)

for beam_output in beam_outputs:
    sent = tokenizer.decode(beam_output, skip_special_tokens=True,clean_up_tokenization_spaces=True)
    print (sent)