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Source code for transformers.modeling_mbart
from .configuration_mbart import MBartConfig
from .modeling_bart import BartForConditionalGeneration
_CONFIG_FOR_DOC = "MBartConfig"
_TOKENIZER_FOR_DOC = "MBartTokenizer"
MBART_PRETRAINED_MODEL_ARCHIVE_LIST = [
"facebook/mbart-large-cc25",
"facebook/mbart-large-en-ro",
# See all multilingual BART models at https://huggingface.co/models?filter=mbart
]
[docs]class MBartForConditionalGeneration(BartForConditionalGeneration):
r"""
This class overrides :class:`~transformers.BartForConditionalGeneration`. Please check the
superclass for the appropriate documentation alongside usage examples.
Examples::
>>> from transformers import MBartForConditionalGeneration, MBartTokenizer
>>> model = MBartForConditionalGeneration.from_pretrained("facebook/mbart-large-en-ro")
>>> tokenizer = MBartTokenizer.from_pretrained("facebook/mbart-large-en-ro")
>>> article = "UN Chief Says There Is No Military Solution in Syria"
>>> batch = tokenizer.prepare_seq2seq_batch(src_texts=[article])
>>> translated_tokens = model.generate(**batch)
>>> translation = tokenizer.batch_decode(translated_tokens, skip_special_tokens=True)[0]
>>> assert translation == "Şeful ONU declară că nu există o soluţie militară în Siria"
"""
model_type = "mbart"
config_class = MBartConfig