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Functions2,547 in github.com/IDEA-CCNL/Fengshenbang-LM

⨍ Functions 2,547◇ Types & classes 564↳ Endpoints 10
Method__init__
(self, config)
fengshen/models/deberta_v2/modeling_deberta_v2.py:1095
Method__init__
(self, config)
fengshen/models/deberta_v2/modeling_deberta_v2.py:1171
Method__init__
(self, config)
fengshen/models/deberta_v2/modeling_deberta_v2.py:1189
Method__init__
(self, config)
fengshen/models/deberta_v2/modeling_deberta_v2.py:1210
Method__init__
(self, config)
fengshen/models/deberta_v2/modeling_deberta_v2.py:1228
Method__init__
(self, config)
fengshen/models/deberta_v2/modeling_deberta_v2.py:1350
Method__init__
(self, config)
fengshen/models/deberta_v2/modeling_deberta_v2.py:1427
Method__init__
(self, config)
fengshen/models/deberta_v2/modeling_deberta_v2.py:1525
Method__init__
(self, extra_id_num=118)
fengshen/models/megatron_t5/tokenization_megatron_t5.py:21
Method__init__
Construct a layernorm module in the T5 style No bias and no subtraction of mean.
fengshen/models/megatron_t5/modeling_megatron_t5.py:237
Method__init__
(self, config)
fengshen/models/megatron_t5/modeling_megatron_t5.py:259
Method__init__
(self, config)
fengshen/models/megatron_t5/modeling_megatron_t5.py:275
Method__init__
(self, config)
fengshen/models/megatron_t5/modeling_megatron_t5.py:291
Method__init__
(self, config)
fengshen/models/megatron_t5/modeling_megatron_t5.py:310
Method__init__
(self, config: T5Config, has_relative_attention_bias=False)
fengshen/models/megatron_t5/modeling_megatron_t5.py:334
Method__init__
(self, config, has_relative_attention_bias=False)
fengshen/models/megatron_t5/modeling_megatron_t5.py:586
Method__init__
(self, config)
fengshen/models/megatron_t5/modeling_megatron_t5.py:626
Method__init__
(self, config)
fengshen/models/megatron_t5/modeling_megatron_t5.py:920
Method__init__
(self, config, embed_tokens=None)
fengshen/models/megatron_t5/modeling_megatron_t5.py:969
Method__init__
(self, config)
fengshen/models/megatron_t5/modeling_megatron_t5.py:1456
Method__init__
(self, config: T5Config)
fengshen/models/megatron_t5/modeling_megatron_t5.py:1477
Method__init__
(self, config)
fengshen/models/megatron_t5/modeling_megatron_t5.py:1671
Method__init__
(self, config: T5Config)
fengshen/models/megatron_t5/modeling_megatron_t5.py:1994
Method__init__
( self, vocab_size=32128, d_model=512, d_kv=64, d_ff=2048, num
fengshen/models/megatron_t5/configuration_megatron_t5.py:86
Method__init__
(self, data, tokenizer, args, used_mask=True)
fengshen/models/ubert/modeling_ubert.py:57
Method__init__
(self, train_data, val_data, tokenizer, args)
fengshen/models/ubert/modeling_ubert.py:205
Method__init__
(self)
fengshen/models/ubert/modeling_ubert.py:239
Method__init__
(self, config)
fengshen/models/ubert/modeling_ubert.py:258
Method__init__
(self, args, num_data=1)
fengshen/models/ubert/modeling_ubert.py:324
Method__init__
(self, args)
fengshen/models/ubert/modeling_ubert.py:425
Method__init__
(self)
fengshen/models/ubert/modeling_ubert.py:437
Method__init__
(self, args)
fengshen/models/ubert/modeling_ubert.py:700
Method__init__
(self, config)
fengshen/models/roformer/modeling_roformer.py:147
Method__init__
(self, config)
fengshen/models/roformer/modeling_roformer.py:232
Method__init__
(self, config)
fengshen/models/roformer/modeling_roformer.py:379
Method__init__
(self, config)
fengshen/models/roformer/modeling_roformer.py:392
Method__init__
(self, config)
fengshen/models/roformer/modeling_roformer.py:447
Method__init__
(self, config)
fengshen/models/roformer/modeling_roformer.py:463
Method__init__
(self, config)
fengshen/models/roformer/modeling_roformer.py:476
Method__init__
(self, config)
fengshen/models/roformer/modeling_roformer.py:590
Method__init__
(self, config)
fengshen/models/roformer/modeling_roformer.py:701
Method__init__
(self, config)
fengshen/models/roformer/modeling_roformer.py:717
Method__init__
(self, config)
fengshen/models/roformer/modeling_roformer.py:736
Method__init__
(self, config)
fengshen/models/roformer/modeling_roformer.py:757
Method__init__
(self, config)
fengshen/models/roformer/modeling_roformer.py:768
Method__init__
(self, config)
fengshen/models/roformer/modeling_roformer.py:779
Method__init__
(self, config, add_pooling_layer=True)
fengshen/models/roformer/modeling_roformer.py:936
Method__init__
(self, config, add_binary_head=True)
fengshen/models/roformer/modeling_roformer.py:1115
Method__init__
(self, config)
fengshen/models/roformer/modeling_roformer.py:1225
Method__init__
(self, config)
fengshen/models/roformer/modeling_roformer.py:1374
Method__init__
(self, config)
fengshen/models/roformer/modeling_roformer.py:1483
Method__init__
(self, config)
fengshen/models/roformer/modeling_roformer.py:1585
Method__init__
(self, config)
fengshen/models/roformer/modeling_roformer.py:1671
Method__init__
(self, config)
fengshen/models/roformer/modeling_roformer.py:1773
Method__init__
(self, config)
fengshen/models/roformer/modeling_roformer.py:1866
Method__init__
( self, vocab_size=29056, hidden_size=1024, num_hidden_layers=24, num_
fengshen/models/roformer/configuration_roformer.py:97
Method__init__
(self, config:PretrainedConfig,*model_args, **model_kwargs)
fengshen/models/DAVAE/DAVAEModel.py:37
Method__init__
(self, hidden_size)
fengshen/models/DAVAE/GPT2ModelForLatent.py:32
Method__init__
(self, hidden_size, num_attention_heads, attention_dropout_prob, output_dropout_prob,
fengshen/models/DAVAE/GPT2ModelForLatent.py:110
Method__init__
(self, hidden_size, num_attention_heads, attention_dropout_
fengshen/models/DAVAE/GPT2ModelForLatent.py:328
Method__init__
(self, num_layers, hidden_size, num_attention_heads,
fengshen/models/DAVAE/GPT2ModelForLatent.py:421
Method__init__
(self, config:TransfoXLConfig)
fengshen/models/DAVAE/GPT2ModelForLatent.py:592
Method__init__
(self, config, latent_size)
fengshen/models/DAVAE/BertForLatentConnector.py:64
Method__init__
(self, mapping)
fengshen/models/auto/configuration_auto.py:79
Method__init__
(self, mapping)
fengshen/models/auto/configuration_auto.py:132
Method__init__
(self)
fengshen/models/auto/configuration_auto.py:251
Method__init__
(self)
fengshen/models/auto/tokenization_auto.py:211
Method__init__
(self, *args, **kwargs)
fengshen/models/auto/auto_factory.py:383
Method__init__
(self, config_mapping, model_mapping)
fengshen/models/auto/auto_factory.py:563
Method__init__
Constructs ZenConfig. Args: vocab_size_or_config_json_file: Vocabulary size of `inputs_ids` in `BertModel`. hidden_si
fengshen/models/zen2/configuration_zen2.py:25
Method__init__
Constructs a BertTokenizer. Args: vocab_file: Path to a one-wordpiece-per-line vocabulary file do_lower_case: Whether to
fengshen/models/zen2/tokenization.py:117
Method__init__
Constructs a BasicTokenizer. Args: do_lower_case: Whether to lower case the input.
fengshen/models/zen2/tokenization.py:249
Method__init__
(self, vocab, unk_token="[UNK]", max_input_chars_per_word=100)
fengshen/models/zen2/tokenization.py:366
Method__init__
Constructs ZenNgramDict :param ngram_freq_path: ngrams with frequency
fengshen/models/zen2/ngram_utils.py:38
Method__init__
Construct a layernorm module in the TF style (epsilon inside the square root).
fengshen/models/zen2/modeling.py:274
Method__init__
(self, config)
fengshen/models/zen2/modeling.py:293
Method__init__
(self, config)
fengshen/models/zen2/modeling.py:320
Method__init__
:param embedding_dim: 每个位置的dimension :param padding_idx: :param init_size:
fengshen/models/zen2/modeling.py:348
Method__init__
(self, config, output_attentions=False, keep_multihead_output=False)
fengshen/models/zen2/modeling.py:408
Method__init__
(self, config)
fengshen/models/zen2/modeling.py:511
Method__init__
(self, config, output_attentions=False, keep_multihead_output=False)
fengshen/models/zen2/modeling.py:525
Method__init__
(self, config)
fengshen/models/zen2/modeling.py:560
Method__init__
(self, config)
fengshen/models/zen2/modeling.py:576
Method__init__
(self, config, output_attentions=False, keep_multihead_output=False)
fengshen/models/zen2/modeling.py:590
Method__init__
(self, config, output_attentions=False, keep_multihead_output=False)
fengshen/models/zen2/modeling.py:610
Method__init__
(self, config)
fengshen/models/zen2/modeling.py:647
Method__init__
(self, config)
fengshen/models/zen2/modeling.py:662
Method__init__
(self, config, bert_model_embedding_weights)
fengshen/models/zen2/modeling.py:680
Method__init__
(self, config, bert_model_embedding_weights)
fengshen/models/zen2/modeling.py:699
Method__init__
(self, config)
fengshen/models/zen2/modeling.py:709
Method__init__
(self, config, bert_model_embedding_weights)
fengshen/models/zen2/modeling.py:719
Method__init__
(self, config, output_attentions=False, keep_multihead_output=False)
fengshen/models/zen2/modeling.py:943
Method__init__
(self, config, output_attentions=False, keep_multihead_output=False)
fengshen/models/zen2/modeling.py:1027
Method__init__
(self, config, output_attentions=False, keep_multihead_output=False)
fengshen/models/zen2/modeling.py:1093
Method__init__
(self, config, num_labels=2, output_attentions=False, keep_multihead_output=False)
fengshen/models/zen2/modeling.py:1160
Method__init__
(self, config, num_labels=2, output_attentions=False, keep_multihead_output=False)
fengshen/models/zen2/modeling.py:1240
Method__init__
(self, config, output_attentions=False, keep_multihead_output=False)
fengshen/models/zen2/modeling.py:1344
Method__init__
( self, vocab_file, bos_token="<s>", eos_token="</s>", unk_token="<unk
fengshen/models/deltalm/tokenizer_deltalm.py:82
Method__init__
(self, num_embeddings: int, embedding_dim: int)
fengshen/models/deltalm/modeling_deltalm.py:92
Method__init__
( self, embed_dim: int, num_heads: int, dropout: float = 0.0, is_decod
fengshen/models/deltalm/modeling_deltalm.py:110
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