flair.embeddings.legacy

Warning

All embeddings in flair.embeddings.legacy are considered deprecated. there is no guarantee that they are still working and we recommend using different embeddings instead.

class flair.embeddings.legacy.ELMoEmbeddings(model='original', options_file=None, weight_file=None, embedding_mode='all')View on GitHub

Bases: TokenEmbeddings

Contextual word embeddings using word-level LM, as proposed in Peters et al., 2018. ELMo word vectors can be constructed by combining layers in different ways. Default is to concatene the top 3 layers in the LM.

property embedding_length: int

Returns the length of the embedding vector.

use_layers_all(x)View on GitHub

use_layers_top(x)View on GitHub

use_layers_average(x)View on GitHub

extra_repr()View on GitHub

Set the extra representation of the module.

To print customized extra information, you should re-implement this method in your own modules. Both single-line and multi-line strings are acceptable.

class flair.embeddings.legacy.CharLMEmbeddings(model, detach=True, use_cache=False, cache_directory=None)View on GitHub

Bases: TokenEmbeddings

Contextual string embeddings of words, as proposed in Akbik et al., 2018.

train(mode=True)View on GitHub

Set the module in training mode.

This has any effect only on certain modules. See documentations of particular modules for details of their behaviors in training/evaluation mode, if they are affected, e.g. Dropout, BatchNorm, etc.

Parameters:

mode (bool) – whether to set training mode (True) or evaluation mode (False). Default: True.

Returns:

self

Return type:

Module

property embedding_length: int

Returns the length of the embedding vector.

class flair.embeddings.legacy.DocumentMeanEmbeddings(token_embeddings)View on GitHub

Bases: DocumentEmbeddings

property embedding_length: int

Returns the length of the embedding vector.

embed(sentences)View on GitHub

Add embeddings to every sentence in the given list of sentences. If embeddings are already added, updates only if embeddings are non-static.

class flair.embeddings.legacy.DocumentLSTMEmbeddings(embeddings, hidden_size=128, rnn_layers=1, reproject_words=True, reproject_words_dimension=None, bidirectional=False, dropout=0.5, word_dropout=0.0, locked_dropout=0.0)View on GitHub

Bases: DocumentEmbeddings

property embedding_length: int

Returns the length of the embedding vector.

embed(sentences)View on GitHub

Add embeddings to all sentences in the given list of sentences. If embeddings are already added, update only if embeddings are non-static.