flair.embeddings.transformer#

`LARGE_INTEGER`	int([x]) -> integer int(x, base=10) -> integer
`SENTENCE_BOUNDARY_TAG`	str(object='') -> str str(bytes_or_buffer[, encoding[, errors]]) -> str
`TransformerBaseEmbeddings`	Base class for all TransformerEmbeddings.
`TransformerEmbeddings`
`TransformerJitDocumentEmbeddings`
`TransformerJitEmbeddings`
`TransformerJitWordEmbeddings`
`TransformerOnnxDocumentEmbeddings`
`TransformerOnnxEmbeddings`
`TransformerOnnxWordEmbeddings`
`_get_processed_token_text`
`_legacy_reconstruct_word_ids`
`_reconstruct_word_ids_from_subtokens`
`combine_strided_tensors`
`document_cls_pooling`
`document_max_pooling`
`document_mean_pooling`
`fill_masked_elements`
`fill_mean_token_embeddings`
`insert_missing_embeddings`
`pad_sequence_embeddings`
`remove_special_markup`
`truncate_hidden_states`