Ngrams of that size that occur in the encoder_input_ids cannot occur in the decoder_input_ids. encoder_no_repeat_ngram_size ( int, optional, defaults to 0) - Value that will be used by -ĭefault in the generate method of the model for encoder_no_repeat_ngram_size.Length_penalty 0, all ngrams of that size can A chunk size of n means that the feed forward layer processes n 0.0 promotes longer sequences, while The chunk size of all feed forward layers in the residual attention blocks. chunk_size_feed_forward ( int, optional, defaults to 0).prune_heads ( Dict], optional, defaults to will prune heads 0 and 2 on layer 1 and heads 2 and 3 on layer 2.This requires the encoderĪnd decoder model to have the exact same parameter names. Whether all encoder weights should be tied to their equivalent decoder weights. tie_encoder_decoder ( bool, optional, defaults to False).
That can be used as decoder models within the EncoderDecoderModel class, which consists of all models Note, this option is only relevant for models Whether cross-attention layers should be added to the model. add_cross_attention ( bool, optional, defaults to False).Setting and the cross-attention hidden dimension differs from _size. The hidden size of the cross-attention layer in case the model is used as a decoder in an encoder-decoder cross_attention_hidden_size** ( bool, optional).Whether the model is used as decoder or not (in which case it’s used as an encoder). is_decoder ( bool, optional, defaults to False).Whether the model is used as an encoder/decoder or not. is_encoder_decoder ( bool, optional, defaults to False).Whether or not the model should return a ModelOutput instead of a plain tuple. return_dict ( bool, optional, defaults to True).Whether or not the model should returns all attentions. output_attentions ( bool, optional, defaults to False).Whether or not the model should return all hidden-states. output_hidden_states ( bool, optional, defaults to False).om_pretrained() as pretrained_model_name_or_path if the configuration was created Store the string that was passed to om_pretrained() or name_or_path ( str, optional, defaults to "").