![]() ![]() num_return_sequences ( int, optional, defaults to 1).Use tokenizer.encode(bad_word, add_prefix_space=True). In order to get the tokens of the words that should not appear in the generated text, List of token ids that are not allowed to be generated that will be used by default in the generate 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.
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