# Noisy Translation Small T5

Trained on 1536 context length, able to translate malay, pasar malay (social media texts or local context), english, manglish, javanese, banjarese and indonesian to target language. It also able to maintain the text structure as it is and only translate necessary texts, eg, programming code.

Try it at https://huggingface.co/spaces/mesolitica/malaysian-translation

## how-to

```python
from transformers import T5ForConditionalGeneration, AutoTokenizer
tokenizer = AutoTokenizer.from_pretrained(
    'mesolitica/translation-t5-small-standard-bahasa-cased',
    use_fast=False
)
model = T5ForConditionalGeneration.from_pretrained(
    'mesolitica/translation-t5-small-standard-bahasa-cased'
)
s = 'Hai, ada yang bisa saya bantu?'
input_ids = tokenizer.encode(f'terjemah ke Melayu: {s}', return_tensors = 'pt')
outputs = model.generate(input_ids, max_length = 100)
all_special_ids = [0, 1, 2]
outputs = [i for i in outputs[0] if i not in all_special_ids]
print(tokenizer.decode(outputs, spaces_between_special_tokens = False))
```
{"language": ["ms"]}
transformers pytorch t5 text2text-generation ms autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #t5 #text2text-generation #ms #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 

# Noisy Translation Small T5

Trained on 1536 context length, able to translate malay, pasar malay (social media texts or local context), english, manglish, javanese, banjarese and indonesian to target language. It also able to maintain the text structure as it is and only translate necessary texts, eg, programming code.

Try it at URL

## how-to


# Noisy Translation Small T5

Trained on 1536 context length, able to translate malay, pasar malay (social media texts or local context), english, manglish, javanese, banjarese and indonesian to target language. It also able to maintain the text structure as it is and only translate necessary texts, eg, programming code.

Try it at URL ## how-to
TAGS
#transformers #pytorch #t5 #text2text-generation #ms #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
 # Noisy Translation Small T5

Trained on 1536 context length, able to translate malay, pasar malay (social media texts or local context), english, manglish, javanese, banjarese and indonesian to target language. It also able to maintain the text structure as it is and only translate necessary texts, eg, programming code.

Try it at URL ## how-to