Welcome to bert4torch’s documentation!

Home:

• Quick-Start
  • 0. 下载安装
  • 1. 建模流程示例
  • 2. 主要模块讲解
  • 3. 其他特性讲解
• Examples
• History

API:

• Tokenizers
  • BasicTokenizer
    • BasicTokenizer.tokenize()
  • SpTokenizer
    • SpTokenizer.decode()
    • SpTokenizer.id_to_token()
    • SpTokenizer.preprocess_text()
    • SpTokenizer.token_to_id()
  • Tokenizer
    • Tokenizer.decode()
    • Tokenizer.id_to_token()
    • Tokenizer.rematch()
    • Tokenizer.stem()
    • Tokenizer.token_to_id()
  • TokenizerBase
    • TokenizerBase.decode()
    • TokenizerBase.encode()
    • TokenizerBase.id_to_token()
    • TokenizerBase.ids_to_tokens()
    • TokenizerBase.token_to_id()
    • TokenizerBase.tokenize()
    • TokenizerBase.tokens_to_ids()
  • Trie
  • WordpieceTokenizer
    • WordpieceTokenizer.tokenize()
  • convert_to_unicode()
  • load_vocab()
  • whitespace_tokenize()
• Models
• Layers
• Snippets
  • AdversarialTraining
  • AutoRegressiveDecoder
    • AutoRegressiveDecoder.beam_search()
    • AutoRegressiveDecoder.predict()
    • AutoRegressiveDecoder.random_sample()
    • AutoRegressiveDecoder.wraps()
  • DottableDict
  • FGM
  • PGD
  • VAT
    • VAT.adv_project()
    • VAT.kl()
  • WebServing
    • WebServing.route()
    • WebServing.start()
    • WebServing.wraps()
  • 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
  • ContrastiveLoss
    • ContrastiveLoss.forward()
  • FocalLoss
    • FocalLoss.forward()
  • LabelSmoothingCrossEntropy
    • LabelSmoothingCrossEntropy.forward()
  • MultilabelCategoricalCrossentropy
    • MultilabelCategoricalCrossentropy.forward()
  • RDropLoss
    • RDropLoss.forward()
  • SparseMultilabelCategoricalCrossentropy
    • SparseMultilabelCategoricalCrossentropy.forward()
  • TemporalEnsemblingLoss
    • TemporalEnsemblingLoss.forward()
    • TemporalEnsemblingLoss.same_batch_check()
    • TemporalEnsemblingLoss.update()
  • UDALoss
    • UDALoss.forward()
• Optimizers
  • extend_with_exponential_moving_average()
  • get_linear_schedule_with_warmup()
• Activations

Indices and tables

• Index

• Module Index

• Search Page