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Functions11,821 in github.com/microsoft/LoRA

⨍ Functions 11,821◇ Types & classes 3,027↳ Endpoints 107
↓ 1,116 callersMethodto
Send all values to device by calling :obj:`v.to(device)` (PyTorch only). Args: device (:obj:`str` or :obj:`torch.device`
examples/NLU/src/transformers/feature_extraction_utils.py:173
↓ 996 callersFunctionmodel
r""" # Using torch.hub ! import torch model = torch.hub.load('huggingface/transformers', 'model', 'bert-base-unca
examples/NLU/hubconf.py:71
↓ 746 callersMethodfrom_pretrained
r""" Instantiate a :class:`~transformers.ModelCard` from a pre-trained model model card. Parameters: pretrained_model_nam
examples/NLU/src/transformers/modelcard.py:83
↓ 613 callersFunctionshape_list
(*args, **kwargs)
examples/NLU/src/transformers/utils/dummy_tf_objects.py:38
↓ 581 callersFunctionids_tensor
(shape, vocab_size, rng=None, name=None)
examples/NLU/tests/test_modeling_common.py:1224
↓ 563 callersFunctionrequires_pytorch
(obj)
examples/NLU/src/transformers/file_utils.py:510
↓ 436 callersMethodconvert_to_tensor
(self, symbols)
examples/NLU/src/transformers/models/transfo_xl/tokenization_transfo_xl.py:462
↓ 419 callersMethoditems
(self)
examples/NLU/src/transformers/feature_extraction_utils.py:107
↓ 404 callersMethodeval
(**kwargs)
examples/NLU/tests/test_flax_auto.py:62
↓ 371 callersMethodkeys
(self)
examples/NLU/src/transformers/feature_extraction_utils.py:99
↓ 369 callersMethodpop
(self, *args, **kwargs)
examples/NLU/src/transformers/file_utils.py:1567
↓ 357 callersFunctionrequires_tf
(obj)
examples/NLU/src/transformers/file_utils.py:522
↓ 354 callersFunctionis_torch_available
()
examples/NLU/src/transformers/file_utils.py:256
↓ 310 callersMethodreplace
(original_file: str, line_to_copy_below: str, lines_to_copy: List[str])
examples/NLU/src/transformers/commands/add_new_model.py:175
↓ 281 callersMethodencode
(self, text)
examples/NLU/src/transformers/models/deberta/tokenization_deberta.py:165
↓ 242 callersFunctionget_initializer
Creates a :obj:`tf.initializers.TruncatedNormal` with the given range. Args: initializer_range (`float`, defaults to 0.02): Standard
examples/NLU/src/transformers/modeling_tf_utils.py:1595
↓ 235 callersMethodfrom_pretrained
(cls, pretrained_model_name_or_path: str, **kwargs)
examples/NLU/examples/research_projects/lxmert/utils.py:178
↓ 226 callersFunctionis_tf_available
()
examples/NLU/src/transformers/file_utils.py:269
↓ 210 callersMethodinit_weights
(self)
examples/NLU/src/transformers/models/dpr/modeling_dpr.py:202
↓ 197 callersMethoddetach
Need to document this
examples/NLU/examples/research_projects/bertabs/modeling_bertabs.py:573
↓ 180 callersFunctioninput_processing
Process the input of each TensorFlow model including the booleans. In case of a list of symbolic inputs, each input has to be named according
examples/NLU/src/transformers/modeling_tf_utils.py:311
↓ 180 callersMethodsave_pretrained
Save a model card object to the directory or file `save_directory_or_file`.
examples/NLU/src/transformers/modelcard.py:71
↓ 166 callersFunctiontokenizer
r""" # Using torch.hub ! import torch tokenizer = torch.hub.load('huggingface/transformers', 'tokenizer', 'bert-base-uncased'
examples/NLU/hubconf.py:57
↓ 157 callersMethodgenerate
r""" Generates sequences for models with a language modeling head. The method currently supports greedy decoding, multinomial sampling
examples/NLU/src/transformers/generation_utils.py:658
↓ 153 callersMethodload
(module: nn.Module, prefix="")
examples/NLU/src/transformers/modeling_utils.py:1114
↓ 137 callersMethoddecode
(self, *args, **kwargs)
examples/NLU/src/transformers/models/rag/tokenization_rag.py:68
↓ 116 callersMethodupdate
(self, *args, **kwargs)
examples/NLU/src/transformers/file_utils.py:1570
↓ 112 callersMethodtokenize
Tokenize the provided input and eventually returns corresponding tokens id: - **text_input**: String to tokenize - **return_ids**: Bo
examples/NLU/src/transformers/commands/serving.py:177
↓ 102 callersMethodvalues
(self)
examples/NLU/src/transformers/feature_extraction_utils.py:103
↓ 101 callersMethodencode_plus
Prepare a table and a string for the model. Args: table (:obj:`pd.DataFrame`): Table containing tabular
examples/NLU/src/transformers/models/tapas/tokenization_tapas.py:905
↓ 99 callersMethodconvert_tokens_to_ids
Converts a token string (or a sequence of tokens) in a single integer id (or a sequence of ids), using the vocabulary. Args:
examples/NLU/src/transformers/tokenization_utils.py:354
↓ 85 callersMethodbatch_decode
(self, *args, **kwargs)
examples/NLU/src/transformers/models/rag/tokenization_rag.py:65
↓ 85 callersMethodbatch_encode_plus
Prepare a table and a list of strings for the model. .. warning:: This method is deprecated, ``__call__`` should be used
examples/NLU/src/transformers/models/tapas/tokenization_tapas.py:641
↓ 85 callersMethodrun_common_tests
(self)
examples/NLU/tests/test_configuration_common.py:75
↓ 81 callersMethodtrain
Main training entry point. Args: resume_from_checkpoint (:obj:`str` or :obj:`bool`, `optional`): If a :o
examples/NLU/src/transformers/trainer.py:824
↓ 71 callersMethodget_output_embeddings
Returns the model's output embeddings. Returns: :obj:`nn.Module`: A torch module mapping hidden states to vocabulary.
examples/NLU/src/transformers/modeling_utils.py:485
↓ 69 callersFunctionprune_linear_layer
Prune a linear layer to keep only entries in index. Used to remove heads. Args: layer (:obj:`torch.nn.Linear`): The layer to pr
examples/NLU/src/transformers/modeling_utils.py:1661
↓ 68 callersMethod__init__
(self, hidden_size)
examples/NLU/tests/test_trainer.py:197
↓ 67 callersFunctionis_tokenizers_available
()
examples/NLU/src/transformers/file_utils.py:330
↓ 67 callersFunctionrequires_tokenizers
(obj)
examples/NLU/src/transformers/file_utils.py:534
↓ 66 callersFunctionget_tf_activation
(activation_string)
examples/NLU/src/transformers/activations_tf.py:90
↓ 65 callersMethodprepare_config_and_inputs_for_common
(self)
examples/NLU/tests/test_modeling_fsmt.py:102
↓ 62 callersMethodcompute_loss
(self, labels: tf.Tensor, logits: tf.Tensor)
examples/NLU/src/transformers/models/bert/modeling_tf_bert.py:103
↓ 62 callersMethoddecoder
:obj:`tokenizers.decoders.Decoder`: The Rust decoder for this tokenizer.
examples/NLU/src/transformers/tokenization_utils_fast.py:158
↓ 62 callersMethodsave
(self, saveas=None)
examples/NLU/examples/research_projects/lxmert/visualizing_image.py:194
↓ 61 callersMethodsave
Save the provided data object with the representation for the current :class:`~transformers.pipelines.PipelineDataFormat`. A
examples/NLU/src/transformers/pipelines/base.py:198
↓ 60 callersMethodget_tokenizers
(self, fast=True, **kwargs)
examples/NLU/tests/test_tokenization_common.py:150
↓ 60 callersMethodto_tuple
Convert self to a tuple containing all the attributes/keys that are not ``None``.
examples/NLU/src/transformers/file_utils.py:1592
↓ 59 callersMethodget_input_embeddings
(self)
examples/NLU/src/transformers/models/t5/modeling_t5.py:835
↓ 59 callersMethodrun
(self)
examples/NLU/src/transformers/commands/run.py:95
↓ 59 callersFunctionshape_list
copied from transformers.modeling_tf_utils
examples/NLU/tests/test_modeling_tf_longformer.py:40
↓ 58 callersMethodapply
Args: inputs (`torch.FloatTensor`) The input matrix from which the binarizer computes the binary mask.
examples/NLU/examples/research_projects/movement-pruning/emmental/modules/binarizer.py:121
↓ 57 callersMethodget_bias
Dict of bias attached to an LM head. The key represents the name of the bias attribute. Return: :obj:`tf.Variable`: The
examples/NLU/src/transformers/modeling_tf_utils.py:764
↓ 57 callersMethodread
(self, n=-1)
examples/NLU/src/transformers/commands/lfs.py:135
↓ 54 callersFunctionpipeline
Utility factory method to build a :class:`~transformers.Pipeline`. Pipelines are made of: - A :doc:`tokenizer <tokenizer>` in charg
examples/NLU/src/transformers/pipelines/__init__.py:241
↓ 54 callersMethodupdate
The main method to update the progress bar to :obj:`value`. Args: value (:obj:`int`): The value to use.
examples/NLU/src/transformers/utils/notebook.py:126
↓ 51 callersMethodlog
Log :obj:`logs` on the various objects watching training. Subclass and override this method to inject custom behavior. Args
examples/NLU/src/transformers/trainer.py:1403
↓ 50 callersMethodtokenize
Basic Tokenization of a piece of text. Split on "white spaces" only, for sub-word tokenization, see WordPieceTokenizer. Args
examples/NLU/src/transformers/models/bert/tokenization_bert.py:383
↓ 49 callersFunctionget_regression_trainer
(a=0, b=0, double_output=False, train_len=64, eval_len=64, pretrained=True, **kwargs)
examples/NLU/tests/test_trainer.py:210
↓ 48 callersMethod_prepare_for_class
(self, inputs_dict, model_class, return_labels=False)
examples/NLU/tests/test_modeling_xlm.py:354
↓ 48 callersFunctionis_sentencepiece_available
()
examples/NLU/src/transformers/file_utils.py:320
↓ 47 callersMethodpad
When used in normal mode, this method forwards all its arguments to Wav2Vec2FeatureExtractor's :meth:`~transformers.Wav2Vec2FeatureEx
examples/NLU/src/transformers/models/wav2vec2/processing_wav2vec2.py:119
↓ 45 callersMethodadd
Add a new hypothesis to the list.
examples/NLU/src/transformers/generation_tf_utils.py:1114
↓ 44 callersMethod_prepare_for_class
(self, inputs_dict, model_class, return_labels=False)
examples/NLU/tests/test_modeling_tf_common.py:89
↓ 43 callersMethod_prepare_for_class
(self, inputs_dict, model_class, return_labels=False)
examples/NLU/tests/test_modeling_common.py:75
↓ 41 callersFunctionis_main_process
Whether or not the current process is the local process, based on `xm.get_ordinal()` (for TPUs) first, then on `local_rank`.
examples/NLU/src/transformers/trainer_utils.py:202
↓ 40 callersMethodclose
(self)
examples/NLU/src/transformers/hf_api.py:205
↓ 40 callersMethodconvert_ids_to_tokens
(self, ids: int, skip_special_tokens: bool = False)
examples/NLU/src/transformers/tokenization_utils.py:656
↓ 40 callersMethodfrom_pretrained
r""" Examples:: >>> from transformers import AutoConfig, AutoModel >>> # Download model and configuration from hugg
examples/NLU/src/transformers/models/auto/modeling_auto.py:788
↓ 39 callersMethodget_auto_remove_tmp_dir
Args: tmp_dir (:obj:`string`, `optional`): if :obj:`None`: - a unique temporary path will be
examples/NLU/src/transformers/testing_utils.py:793
↓ 39 callersMethodmodel
(self)
examples/NLU/src/transformers/data/test_generation_utils.py:38
↓ 38 callersMethodpad
(self, images)
examples/NLU/examples/research_projects/lxmert/processing_image.py:84
↓ 37 callersMethodget_decoder
(self)
examples/NLU/src/transformers/models/t5/modeling_t5.py:1247
↓ 37 callersMethodparse_args_into_dataclasses
Parse command-line args into instances of the specified dataclass types. This relies on argparse's `ArgumentParser.parse_known_args`
examples/NLU/src/transformers/hf_argparser.py:141
↓ 36 callersFunction_get_word_embedding_weight
(model, embedding_layer)
examples/NLU/templates/adding_a_new_model/cookiecutter-template-{{cookiecutter.modelname}}/test_modeling_tf_{{cookiecutter.lowercase_modelname}}.py:518
↓ 36 callersFunctionrequires_sentencepiece
(obj)
examples/NLU/src/transformers/file_utils.py:540
↓ 35 callersMethodresize_token_embeddings
Resizes input token embeddings matrix of the model if :obj:`new_num_tokens != config.vocab_size`. Takes care of tying weights embedd
examples/NLU/src/transformers/modeling_utils.py:603
↓ 34 callersMethod_read_tsv
Reads a tab separated value file.
examples/NLU/src/transformers/data/processors/utils.py:120
↓ 34 callersMethoddevice
:obj:`torch.device`: The device on which the module is (assuming that all the module parameters are on the same device).
examples/NLU/src/transformers/modeling_utils.py:173
↓ 33 callersMethodbuild_inputs_with_special_tokens
Build model inputs from a sequence or a pair of sequence for sequence classification tasks by concatenating and adding special tokens
examples/NLU/src/transformers/models/t5/tokenization_t5.py:203
↓ 33 callersFunctioncreate_custom_forward
(module)
examples/NLU/templates/adding_a_new_model/cookiecutter-template-{{cookiecutter.modelname}}/modeling_{{cookiecutter.lowercase_modelname}}.py:539
↓ 33 callersMethodget_vocab
(self)
examples/NLU/src/transformers/models/t5/tokenization_t5.py:136
↓ 31 callersFunctionis_torch_tpu_available
()
examples/NLU/src/transformers/file_utils.py:281
↓ 30 callersMethodbackward
(ctx, grad_output)
examples/NLU/src/transformers/models/ibert/quant_modules.py:695
↓ 30 callersMethodevaluate
Run evaluation and returns metrics. The calling script will be responsible for providing a method to compute metrics, as they are ta
examples/NLU/src/transformers/trainer.py:1644
↓ 30 callersMethodis_world_process_zero
Whether or not this process is the global main process (when training in a distributed fashion on several machines, this is only goin
examples/NLU/src/transformers/trainer.py:1515
↓ 30 callersMethodprepare_config_and_inputs
(self)
examples/NLU/tests/test_modeling_fsmt.py:74
↓ 30 callersFunctionset_seed
Helper function for reproducible behavior to set the seed in ``random``, ``numpy``, ``torch`` and/or ``tf`` (if installed). Args:
examples/NLU/src/transformers/trainer_utils.py:48
↓ 30 callersMethodzero_grad
(self)
examples/NLU/examples/research_projects/bertabs/modeling_bertabs.py:1047
↓ 29 callersMethodto_dict
Serializes this instance to a Python dictionary.
examples/NLU/src/transformers/modelcard.py:203
↓ 28 callersMethod__init__
(self, feat_size, epsilon=None, **kwargs)
examples/NLU/src/transformers/models/mobilebert/modeling_tf_mobilebert.py:96
↓ 28 callersMethodget_encoder
(self)
examples/NLU/src/transformers/models/t5/modeling_t5.py:1244
↓ 28 callersMethodsave_metrics
(self, latest_metrics, type_path)
examples/NLU/examples/research_projects/rag/finetune_rag.py:310
↓ 27 callersMethod__init__
(self, feat_size, eps=None)
examples/NLU/src/transformers/models/mobilebert/modeling_mobilebert.py:149
↓ 27 callersMethodfrom_pretrained
(cls, retriever_name_or_path, actor_handles, indexed_dataset=None, **kwargs)
examples/NLU/examples/research_projects/rag/distributed_ray_retriever.py:136
↓ 27 callersMethodget_rust_tokenizer
(self, **kwargs)
examples/NLU/tests/test_tokenization_t5.py:128
↓ 27 callersMethodtrain
The real training loop.
examples/NLU/examples/research_projects/distillation/distiller.py:330
↓ 26 callersMethodprint_fn
(self)
examples/NLU/src/transformers/benchmark/benchmark_utils.py:630
↓ 25 callersMethodbackward
(ctx, grad)
examples/NLU/examples/research_projects/lxmert/modeling_frcnn.py:412
↓ 25 callersMethodfrom_dict
Constructs a `ModelCard` from a Python dictionary of parameters.
examples/NLU/src/transformers/modelcard.py:185
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