Welcome to bert4torch’s documentation!¶
- Tokenizers
- Models
- Layers
- Snippets
AdversarialTraining
AutoRegressiveDecoder
DottableDict
FGM
PGD
VAT
WebServing
cal_ts_num()
create_position_ids_from_input_ids()
delete_arguments()
get_kw()
get_pool_emb()
get_sinusoid_encoding_table()
insert_arguments()
is_string()
lowercase_and_normalize()
merge_segmentate()
parallel_apply()
parallel_apply_generator()
sequence_padding()
text_augmentation()
text_segmentate()
truncate_sequences()
- Losses
- Optimizers
- Activations