(self, data, transform: Callable = None,

(self, data, transform: Callable = None, training=False, device=None, logger: logging

(self, data, transform: Callable = None, training=False, device=None, logger: logging

(self, data, transform: TransformList = None, training=False, device=None, logger: lo

(self, data, transform: TransformList = None,

(self, data, transform=None, **kwargs)

(self, data, **kwargs)

(self, data, **kwargs)

(self, data, transform=None, **kwargs)

(self, data, transform=None)

(self, data, bos_transform=None)

(nodes, backreferences, restore_name_ops=False)

(nodes, backreferences, restore_name_ops=False)

(self, token_ids_0, token_ids_1=None)

(self, token_ids_0, token_ids_1=None)

(self, loss, **kwargs)

(self, loss, **kwargs)

(self, loss, **kwargs)

(self, loss, **kwargs)

(self, loss, **kwargs)

(self, loss, **kwargs)

(self, **kwargs)

(self, **kwargs)

(self, **kwargs)

(self, **kwargs)

(self, **kwargs)

(self, **kwargs)

(self, **kwargs)

(self, **kwargs)

(self, **kwargs)

(self, **kwargs)

(self, training=None, **kwargs)

(self, **kwargs)

(self, **kwargs)

(self, **kwargs)

(self, **kwargs)

(self, **kwargs)

(self, **kwargs)

(self, **kwargs)

(self, **kwargs)

(self, **kwargs)

(self, **kwargs)

(self, **kwargs)

(self, **kwargs)

(self, **kwargs)

(self, **kwargs)

(self, **kwargs)

(self, **kwargs)

(self, **kwargs)

(self, **kwargs)

(self, **kwargs)

(self, **kwargs)

(self, **kwargs)

(self, **kwargs)

(self, **kwargs)

(self, **kwargs)

(self, **kwargs)

(self, **kwargs)

(self, **kwargs)

(self, **kwargs)

(self, metrics, logger: logging.Logger, **kwargs)

(self, metrics, logger: logging.Logger, **kwargs)

(self, metrics, logger, **kwargs)

(self, embedding, rnn_input_dropout, rnn_units, rnn_output_dropout, batch_size, seq_len, training,

(self, training=True, **kwargs)

(self, training=True, transformer=None, **kwargs)

(self, training=True, transformer=None, **kwargs)

(self, embedding, **kwargs)

(self, embeddings, embedding_trainable, rnn_input_dropout, rnn_output_dropout, rnn_units,

(self, rnn_input, rnn_hidden, drop, crf, **kwargs)

(self, word_embed, ngram_embed, window_size, weight_norm, filters, kernel_size, dropout_embed,

(self, training=True, extra_embeddings: Embedding = None, finetune=False, logger=None, **k

(self, transformer, max_seq_length, **kwargs)

(self, training=True, **kwargs)

(self, pretrained_embed, n_embed, training, **kwargs)

(self, transformer, training, **kwargs)

(self, encoder, training=True, **kwargs)

(self, transformer: ContextualWordEmbedding, n_mlp_arc,

(self, training=True, **kwargs)

(self, training=True, **kwargs)

(self, training=True, save_dir=None, **kwargs)

(self, transformer, training=True, **kwargs)

(self, training=True, save_dir=None, **kwargs)

(self, transformer, max_length, **kwargs)

(self, training=True, transformer=None, **kwargs)

(self, transformer, training=True, **kwargs)

(self, training=True, **kwargs)

(self, embed: Embedding, encoder, training, **kwargs)

(self, training=True, **kwargs)

(self, training=False, **kwargs)

(self, encoder_size, training=True, **kwargs)

(self, encoder_size, training=True, **kwargs)

(self, encoder_size, training=True, **kwargs)

(self, encoder_size, training=True, **kwargs)

(self, encoder_size, training=True, **kwargs)

(self, encoder_size, training=True, **kwargs)

(self, encoder_size, training=True, **kwargs)

(self, encoder_size, n_mlp_arc, n_mlp_rel,

(self, encoder_size, training=True, **kwargs)

(self, encoder_size, training=True, **kwargs)