File size: 731 Bytes
27f635d 634e268 5aedc32 dc91eb2 2e9d7dd 5aedc32 dc91eb2 5aedc32 dc91eb2 2e9d7dd 66121d4 dc91eb2 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 |
---
language:
- it
pipeline_tag: translation
---
To initialize the model:
from transformers import MBartForConditionalGeneration, MBart50TokenizerFast
model = MBartForConditionalGeneration.from_pretrained("facebook/mbart-large-50", output_hidden_states=True)
To generate text using the model:
tokenizer = MBart50TokenizerFast.from_pretrained("facebook/mbart-large-50", src_lang="it_IT", tgt_lang="it_IT")
input = tokenizer("I was here yesterday to studying",text_target="I was here yesterday to study", return_tensors='pt')
output = hidden_states = model.generate(input["input_ids"],attention_mask=input["attention_mask"],forced_bos_token_id=tokenizer_it.lang_code_to_id["it_IT"])
|