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train · 10.8k rows

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class TFAutoModelForSeq2SeqLM(_BaseAutoModelClass): _model_mapping = TF_MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING	class_definition	24,802	24,916	/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/models/auto/modeling_tf_auto.py	null	4,600
class TFAutoModelForSequenceClassification(_BaseAutoModelClass): _model_mapping = TF_MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING	class_definition	25,100	25,230	/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/models/auto/modeling_tf_auto.py	null	4,601
class TFAutoModelForQuestionAnswering(_BaseAutoModelClass): _model_mapping = TF_MODEL_FOR_QUESTION_ANSWERING_MAPPING	class_definition	25,372	25,492	/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/models/auto/modeling_tf_auto.py	null	4,602
class TFAutoModelForDocumentQuestionAnswering(_BaseAutoModelClass): _model_mapping = TF_MODEL_FOR_DOCUMENT_QUESTION_ANSWERING_MAPPING	class_definition	25,613	25,750	/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/models/auto/modeling_tf_auto.py	null	4,603
class TFAutoModelForTableQuestionAnswering(_BaseAutoModelClass): _model_mapping = TF_MODEL_FOR_TABLE_QUESTION_ANSWERING_MAPPING	class_definition	25,985	26,116	/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/models/auto/modeling_tf_auto.py	null	4,604
class TFAutoModelForTokenClassification(_BaseAutoModelClass): _model_mapping = TF_MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING	class_definition	26,326	26,450	/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/models/auto/modeling_tf_auto.py	null	4,605
class TFAutoModelForMultipleChoice(_BaseAutoModelClass): _model_mapping = TF_MODEL_FOR_MULTIPLE_CHOICE_MAPPING	class_definition	26,583	26,697	/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/models/auto/modeling_tf_auto.py	null	4,606
class TFAutoModelForNextSentencePrediction(_BaseAutoModelClass): _model_mapping = TF_MODEL_FOR_NEXT_SENTENCE_PREDICTION_MAPPING	class_definition	26,809	26,940	/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/models/auto/modeling_tf_auto.py	null	4,607
class TFAutoModelForSpeechSeq2Seq(_BaseAutoModelClass): _model_mapping = TF_MODEL_FOR_SPEECH_SEQ_2_SEQ_MAPPING	class_definition	27,083	27,197	/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/models/auto/modeling_tf_auto.py	null	4,608
class TFAutoModelWithLMHead(_TFAutoModelWithLMHead): @classmethod def from_config(cls, config): warnings.warn( "The class `TFAutoModelWithLMHead` is deprecated and will be removed in a future version. Please use" " `TFAutoModelForCausalLM` for causal language models, `TFAutoModel...	class_definition	27,342	28,419	/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/models/auto/modeling_tf_auto.py	null	4,609
class _LazyConfigMapping(OrderedDict): """ A dictionary that lazily load its values when they are requested. """ def __init__(self, mapping): self._mapping = mapping self._extra_content = {} self._modules = {} def __getitem__(self, key): if key in self._extra_conten...	class_definition	27,017	28,959	/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/models/auto/configuration_auto.py	null	4,610
class _LazyLoadAllMappings(OrderedDict): """ A mapping that will load all pairs of key values at the first access (either by indexing, requestions keys, values, etc.) Args: mapping: The mapping to load. """ def __init__(self, mapping): self._mapping = mapping self._init...	class_definition	29,022	30,309	/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/models/auto/configuration_auto.py	null	4,611
class AutoConfig: r""" This is a generic configuration class that will be instantiated as one of the configuration classes of the library when created with the [`~AutoConfig.from_pretrained`] class method. This class cannot be instantiated directly using `__init__()` (throws an error). """ def...	class_definition	33,063	43,229	/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/models/auto/configuration_auto.py	null	4,612
class AutoImageProcessor: r""" This is a generic image processor class that will be instantiated as one of the image processor classes of the library when created with the [`AutoImageProcessor.from_pretrained`] class method. This class cannot be instantiated directly using `__init__()` (throws an error...	class_definition	14,360	32,768	/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/models/auto/image_processing_auto.py	null	4,613
class AutoProcessor: r""" This is a generic processor class that will be instantiated as one of the processor classes of the library when created with the [`AutoProcessor.from_pretrained`] class method. This class cannot be instantiated directly using `__init__()` (throws an error). """ def __...	class_definition	5,754	17,793	/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/models/auto/processing_auto.py	null	4,614
class AutoModelForMaskGeneration(_BaseAutoModelClass): _model_mapping = MODEL_FOR_MASK_GENERATION_MAPPING	class_definition	67,388	67,497	/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/models/auto/modeling_auto.py	null	4,615
class AutoModelForKeypointDetection(_BaseAutoModelClass): _model_mapping = MODEL_FOR_KEYPOINT_DETECTION_MAPPING	class_definition	67,500	67,615	/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/models/auto/modeling_auto.py	null	4,616
class AutoModelForTextEncoding(_BaseAutoModelClass): _model_mapping = MODEL_FOR_TEXT_ENCODING_MAPPING	class_definition	67,618	67,723	/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/models/auto/modeling_auto.py	null	4,617
class AutoModelForImageToImage(_BaseAutoModelClass): _model_mapping = MODEL_FOR_IMAGE_TO_IMAGE_MAPPING	class_definition	67,726	67,832	/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/models/auto/modeling_auto.py	null	4,618
class AutoModel(_BaseAutoModelClass): _model_mapping = MODEL_MAPPING	class_definition	67,835	67,907	/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/models/auto/modeling_auto.py	null	4,619
class AutoModelForPreTraining(_BaseAutoModelClass): _model_mapping = MODEL_FOR_PRETRAINING_MAPPING	class_definition	67,953	68,055	/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/models/auto/modeling_auto.py	null	4,620
class _AutoModelWithLMHead(_BaseAutoModelClass): _model_mapping = MODEL_WITH_LM_HEAD_MAPPING	class_definition	68,227	68,323	/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/models/auto/modeling_auto.py	null	4,621
class AutoModelForCausalLM(_BaseAutoModelClass): _model_mapping = MODEL_FOR_CAUSAL_LM_MAPPING	class_definition	68,421	68,518	/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/models/auto/modeling_auto.py	null	4,622
class AutoModelForMaskedLM(_BaseAutoModelClass): _model_mapping = MODEL_FOR_MASKED_LM_MAPPING	class_definition	68,623	68,720	/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/models/auto/modeling_auto.py	null	4,623
class AutoModelForSeq2SeqLM(_BaseAutoModelClass): _model_mapping = MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING	class_definition	68,825	68,934	/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/models/auto/modeling_auto.py	null	4,624
class AutoModelForSequenceClassification(_BaseAutoModelClass): _model_mapping = MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING	class_definition	69,114	69,239	/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/models/auto/modeling_auto.py	null	4,625
class AutoModelForQuestionAnswering(_BaseAutoModelClass): _model_mapping = MODEL_FOR_QUESTION_ANSWERING_MAPPING	class_definition	69,377	69,492	/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/models/auto/modeling_auto.py	null	4,626
class AutoModelForTableQuestionAnswering(_BaseAutoModelClass): _model_mapping = MODEL_FOR_TABLE_QUESTION_ANSWERING_MAPPING	class_definition	69,609	69,735	/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/models/auto/modeling_auto.py	null	4,627
class AutoModelForVisualQuestionAnswering(_BaseAutoModelClass): _model_mapping = MODEL_FOR_VISUAL_QUESTION_ANSWERING_MAPPING	class_definition	69,941	70,069	/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/models/auto/modeling_auto.py	null	4,628
class AutoModelForDocumentQuestionAnswering(_BaseAutoModelClass): _model_mapping = MODEL_FOR_DOCUMENT_QUESTION_ANSWERING_MAPPING	class_definition	70,278	70,410	/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/models/auto/modeling_auto.py	null	4,629
class AutoModelForTokenClassification(_BaseAutoModelClass): _model_mapping = MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING	class_definition	70,641	70,760	/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/models/auto/modeling_auto.py	null	4,630
class AutoModelForMultipleChoice(_BaseAutoModelClass): _model_mapping = MODEL_FOR_MULTIPLE_CHOICE_MAPPING	class_definition	70,883	70,992	/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/models/auto/modeling_auto.py	null	4,631
class AutoModelForNextSentencePrediction(_BaseAutoModelClass): _model_mapping = MODEL_FOR_NEXT_SENTENCE_PREDICTION_MAPPING	class_definition	71,100	71,226	/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/models/auto/modeling_auto.py	null	4,632
class AutoModelForImageClassification(_BaseAutoModelClass): _model_mapping = MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING	class_definition	71,365	71,484	/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/models/auto/modeling_auto.py	null	4,633
class AutoModelForZeroShotImageClassification(_BaseAutoModelClass): _model_mapping = MODEL_FOR_ZERO_SHOT_IMAGE_CLASSIFICATION_MAPPING	class_definition	71,607	71,744	/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/models/auto/modeling_auto.py	null	4,634
class AutoModelForImageSegmentation(_BaseAutoModelClass): _model_mapping = MODEL_FOR_IMAGE_SEGMENTATION_MAPPING	class_definition	71,899	72,014	/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/models/auto/modeling_auto.py	null	4,635
class AutoModelForSemanticSegmentation(_BaseAutoModelClass): _model_mapping = MODEL_FOR_SEMANTIC_SEGMENTATION_MAPPING	class_definition	72,131	72,252	/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/models/auto/modeling_auto.py	null	4,636
class AutoModelForUniversalSegmentation(_BaseAutoModelClass): _model_mapping = MODEL_FOR_UNIVERSAL_SEGMENTATION_MAPPING	class_definition	72,384	72,507	/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/models/auto/modeling_auto.py	null	4,637
class AutoModelForInstanceSegmentation(_BaseAutoModelClass): _model_mapping = MODEL_FOR_INSTANCE_SEGMENTATION_MAPPING	class_definition	72,648	72,769	/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/models/auto/modeling_auto.py	null	4,638
class AutoModelForObjectDetection(_BaseAutoModelClass): _model_mapping = MODEL_FOR_OBJECT_DETECTION_MAPPING	class_definition	72,901	73,012	/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/models/auto/modeling_auto.py	null	4,639
class AutoModelForZeroShotObjectDetection(_BaseAutoModelClass): _model_mapping = MODEL_FOR_ZERO_SHOT_OBJECT_DETECTION_MAPPING	class_definition	73,123	73,252	/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/models/auto/modeling_auto.py	null	4,640
class AutoModelForDepthEstimation(_BaseAutoModelClass): _model_mapping = MODEL_FOR_DEPTH_ESTIMATION_MAPPING	class_definition	73,395	73,506	/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/models/auto/modeling_auto.py	null	4,641
class AutoModelForVideoClassification(_BaseAutoModelClass): _model_mapping = MODEL_FOR_VIDEO_CLASSIFICATION_MAPPING	class_definition	73,617	73,736	/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/models/auto/modeling_auto.py	null	4,642
class AutoModelForVision2Seq(_BaseAutoModelClass): _model_mapping = MODEL_FOR_VISION_2_SEQ_MAPPING	class_definition	73,859	73,961	/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/models/auto/modeling_auto.py	null	4,643
class AutoModelForImageTextToText(_BaseAutoModelClass): _model_mapping = MODEL_FOR_IMAGE_TEXT_TO_TEXT_MAPPING	class_definition	74,069	74,182	/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/models/auto/modeling_auto.py	null	4,644
class AutoModelForAudioClassification(_BaseAutoModelClass): _model_mapping = MODEL_FOR_AUDIO_CLASSIFICATION_MAPPING	class_definition	74,304	74,423	/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/models/auto/modeling_auto.py	null	4,645
class AutoModelForCTC(_BaseAutoModelClass): _model_mapping = MODEL_FOR_CTC_MAPPING	class_definition	74,546	74,632	/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/models/auto/modeling_auto.py	null	4,646
class AutoModelForSpeechSeq2Seq(_BaseAutoModelClass): _model_mapping = MODEL_FOR_SPEECH_SEQ_2_SEQ_MAPPING	class_definition	74,740	74,849	/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/models/auto/modeling_auto.py	null	4,647
class AutoModelForAudioFrameClassification(_BaseAutoModelClass): _model_mapping = MODEL_FOR_AUDIO_FRAME_CLASSIFICATION_MAPPING	class_definition	74,990	75,120	/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/models/auto/modeling_auto.py	null	4,648
class AutoModelForAudioXVector(_BaseAutoModelClass): _model_mapping = MODEL_FOR_AUDIO_XVECTOR_MAPPING	class_definition	75,273	75,378	/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/models/auto/modeling_auto.py	null	4,649
class AutoModelForTextToSpectrogram(_BaseAutoModelClass): _model_mapping = MODEL_FOR_TEXT_TO_SPECTROGRAM_MAPPING	class_definition	75,381	75,497	/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/models/auto/modeling_auto.py	null	4,650
class AutoModelForTextToWaveform(_BaseAutoModelClass): _model_mapping = MODEL_FOR_TEXT_TO_WAVEFORM_MAPPING	class_definition	75,500	75,610	/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/models/auto/modeling_auto.py	null	4,651
class AutoBackbone(_BaseAutoBackboneClass): _model_mapping = MODEL_FOR_BACKBONE_MAPPING	class_definition	75,613	75,704	/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/models/auto/modeling_auto.py	null	4,652
class AutoModelForMaskedImageModeling(_BaseAutoModelClass): _model_mapping = MODEL_FOR_MASKED_IMAGE_MODELING_MAPPING	class_definition	75,821	75,941	/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/models/auto/modeling_auto.py	null	4,653
class AutoModelWithLMHead(_AutoModelWithLMHead): @classmethod def from_config(cls, config): warnings.warn( "The class `AutoModelWithLMHead` is deprecated and will be removed in a future version. Please use " "`AutoModelForCausalLM` for causal language models, `AutoModelForMaskedL...	class_definition	76,065	77,122	/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/models/auto/modeling_auto.py	null	4,654
class AutoFeatureExtractor: r""" This is a generic feature extractor class that will be instantiated as one of the feature extractor classes of the library when created with the [`AutoFeatureExtractor.from_pretrained`] class method. This class cannot be instantiated directly using `__init__()` (throws ...	class_definition	10,403	19,724	/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/models/auto/feature_extraction_auto.py	null	4,655
class AutoTokenizer: r""" This is a generic tokenizer class that will be instantiated as one of the tokenizer classes of the library when created with the [`AutoTokenizer.from_pretrained`] class method. This class cannot be instantiated directly using `__init__()` (throws an error). """ def __...	class_definition	35,545	51,297	/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/models/auto/tokenization_auto.py	null	4,656
class BertGenerationConfig(PretrainedConfig): r""" This is the configuration class to store the configuration of a [`BertGenerationPreTrainedModel`]. It is used to instantiate a BertGeneration model according to the specified arguments, defining the model architecture. Instantiating a configuration with...	class_definition	741	6,339	/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/models/bert_generation/configuration_bert_generation.py	null	4,657
class BertGenerationTokenizer(PreTrainedTokenizer): """ Construct a BertGeneration tokenizer. Based on [SentencePiece](https://github.com/google/sentencepiece). This tokenizer inherits from [`PreTrainedTokenizer`] which contains most of the main methods. Users should refer to this superclass for more i...	class_definition	974	7,075	/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/models/bert_generation/tokenization_bert_generation.py	null	4,658
class BertGenerationSelfOutput(nn.Module): def __init__(self, config): super().__init__() self.dense = nn.Linear(config.hidden_size, config.hidden_size) self.LayerNorm = nn.LayerNorm(config.hidden_size, eps=config.layer_norm_eps) self.dropout = nn.Dropout(config.hidden_dropout_prob) ...	class_definition	1,678	2,294	/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/models/bert_generation/modeling_bert_generation.py	null	4,659
class BertGenerationSelfAttention(nn.Module): def __init__(self, config, position_embedding_type=None): super().__init__() if config.hidden_size % config.num_attention_heads != 0 and not hasattr(config, "embedding_size"): raise ValueError( f"The hidden size ({config.hidde...	class_definition	2,394	9,756	/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/models/bert_generation/modeling_bert_generation.py	null	4,660
class BertGenerationAttention(nn.Module): def __init__(self, config, position_embedding_type=None): super().__init__() self.self = BERT_GENERATION_SELF_ATTENTION_CLASSES[config._attn_implementation]( config, position_embedding_type=position_embedding_type ) self.output = ...	class_definition	9,963	12,116	/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/models/bert_generation/modeling_bert_generation.py	null	4,661
class BertGenerationIntermediate(nn.Module): def __init__(self, config): super().__init__() self.dense = nn.Linear(config.hidden_size, config.intermediate_size) if isinstance(config.hidden_act, str): self.intermediate_act_fn = ACT2FN[config.hidden_act] else: s...	class_definition	12,215	12,790	/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/models/bert_generation/modeling_bert_generation.py	null	4,662
class BertGenerationOutput(nn.Module): def __init__(self, config): super().__init__() self.dense = nn.Linear(config.intermediate_size, config.hidden_size) self.LayerNorm = nn.LayerNorm(config.hidden_size, eps=config.layer_norm_eps) self.dropout = nn.Dropout(config.hidden_dropout_prob...	class_definition	12,883	13,501	/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/models/bert_generation/modeling_bert_generation.py	null	4,663
class BertGenerationLayer(nn.Module): def __init__(self, config): super().__init__() self.chunk_size_feed_forward = config.chunk_size_feed_forward self.seq_len_dim = 1 self.attention = BertGenerationAttention(config) self.is_decoder = config.is_decoder self.add_cross_...	class_definition	13,593	17,550	/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/models/bert_generation/modeling_bert_generation.py	null	4,664
class BertEncoder(nn.Module): def __init__(self, config): super().__init__() self.config = config self.layer = nn.ModuleList([BertGenerationLayer(config) for _ in range(config.num_hidden_layers)]) self.gradient_checkpointing = False def forward( self, hidden_stat...	class_definition	17,644	21,444	/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/models/bert_generation/modeling_bert_generation.py	null	4,665
class BertGenerationEmbeddings(nn.Module): """Construct the embeddings from word and position embeddings.""" def __init__(self, config): super().__init__() self.word_embeddings = nn.Embedding(config.vocab_size, config.hidden_size, padding_idx=config.pad_token_id) self.position_embedding...	class_definition	25,191	26,893	/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/models/bert_generation/modeling_bert_generation.py	null	4,666
class BertGenerationPreTrainedModel(PreTrainedModel): """ An abstract class to handle weights initialization and a simple interface for downloading and loading pretrained models. """ config_class = BertGenerationConfig base_model_prefix = "bert" supports_gradient_checkpointing = True d...	class_definition	26,896	28,020	/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/models/bert_generation/modeling_bert_generation.py	null	4,667
class BertGenerationEncoder(BertGenerationPreTrainedModel): """ The model can behave as an encoder (with only self-attention) as well as a decoder, in which case a layer of cross-attention is added between the self-attention layers, following the architecture described in [Attention is all you need](ht...	class_definition	31,356	39,972	/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/models/bert_generation/modeling_bert_generation.py	null	4,668
class BertGenerationOnlyLMHead(nn.Module): def __init__(self, config): super().__init__() self.decoder = nn.Linear(config.hidden_size, config.vocab_size) self.bias = nn.Parameter(torch.zeros(config.vocab_size)) self.decoder.bias = self.bias def forward(self, hidden_states): ...	class_definition	39,975	40,716	/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/models/bert_generation/modeling_bert_generation.py	null	4,669
class BertGenerationDecoder(BertGenerationPreTrainedModel, GenerationMixin): _tied_weights_keys = ["lm_head.decoder.weight", "lm_head.decoder.bias"] def __init__(self, config): super().__init__(config) if not config.is_decoder: logger.warning("If you want to use `BertGenerationDeco...	class_definition	40,873	47,481	/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/models/bert_generation/modeling_bert_generation.py	null	4,670
class Wav2Vec2DecoderWithLMOutput(ModelOutput): """ Output type of [`Wav2Vec2DecoderWithLM`], with transcription. Args: text (list of `str` or `str`): Decoded logits in text from. Usually the speech transcription. logit_score (list of `float` or `float`): Total logit...	class_definition	1,326	2,365	/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/models/wav2vec2_with_lm/processing_wav2vec2_with_lm.py	null	4,671
class Wav2Vec2ProcessorWithLM(ProcessorMixin): r""" Constructs a Wav2Vec2 processor which wraps a Wav2Vec2 feature extractor, a Wav2Vec2 CTC tokenizer and a decoder with language model support into a single processor for language model boosted speech recognition decoding. Args: feature_extracto...	class_definition	2,368	29,999	/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/models/wav2vec2_with_lm/processing_wav2vec2_with_lm.py	null	4,672
class ViTMSNConfig(PretrainedConfig): r""" This is the configuration class to store the configuration of a [`ViTMSNModel`]. It is used to instantiate an ViT MSN model according to the specified arguments, defining the model architecture. Instantiating a configuration with the defaults will yield a simil...	class_definition	800	4,834	/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/models/vit_msn/configuration_vit_msn.py	null	4,673
class ViTMSNEmbeddings(nn.Module): """ Construct the CLS token, position and patch embeddings. Optionally, also the mask token. """ def __init__(self, config: ViTMSNConfig, use_mask_token: bool = False) -> None: super().__init__() self.cls_token = nn.Parameter(torch.zeros(1, 1, config....	class_definition	1,481	5,424	/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/models/vit_msn/modeling_vit_msn.py	null	4,674
class ViTMSNPatchEmbeddings(nn.Module): """ This class turns `pixel_values` of shape `(batch_size, num_channels, height, width)` into the initial `hidden_states` (patch embeddings) of shape `(batch_size, seq_length, hidden_size)` to be consumed by a Transformer. """ def __init__(self, config): ...	class_definition	5,514	7,467	/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/models/vit_msn/modeling_vit_msn.py	null	4,675
class ViTMSNSelfAttention(nn.Module): def __init__(self, config: ViTMSNConfig) -> None: super().__init__() if config.hidden_size % config.num_attention_heads != 0 and not hasattr(config, "embedding_size"): raise ValueError( f"The hidden size {config.hidden_size,} is not a...	class_definition	7,555	10,401	/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/models/vit_msn/modeling_vit_msn.py	null	4,676
class ViTMSNSdpaSelfAttention(ViTMSNSelfAttention): def __init__(self, config: ViTMSNConfig) -> None: super().__init__(config) self.attention_probs_dropout_prob = config.attention_probs_dropout_prob def forward( self, hidden_states: torch.FloatTensor, head_mask: Optional...	class_definition	10,493	12,543	/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/models/vit_msn/modeling_vit_msn.py	null	4,677
class ViTMSNSelfOutput(nn.Module): """ The residual connection is defined in ViTMSNLayer instead of here (as is the case with other models), due to the layernorm applied before each block. """ def __init__(self, config: ViTMSNConfig) -> None: super().__init__() self.dense = nn.Linea...	class_definition	12,628	13,280	/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/models/vit_msn/modeling_vit_msn.py	null	4,678
class ViTMSNAttention(nn.Module): def __init__(self, config: ViTMSNConfig) -> None: super().__init__() self.attention = ViTMSNSelfAttention(config) self.output = ViTMSNSelfOutput(config) self.pruned_heads = set() def prune_heads(self, heads: Set[int]) -> None: if len(hea...	class_definition	13,364	15,053	/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/models/vit_msn/modeling_vit_msn.py	null	4,679
class ViTMSNSdpaAttention(ViTMSNAttention): def __init__(self, config: ViTMSNConfig) -> None: super().__init__(config) self.attention = ViTMSNSdpaSelfAttention(config)	class_definition	15,141	15,328	/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/models/vit_msn/modeling_vit_msn.py	null	4,680
class ViTMSNIntermediate(nn.Module): def __init__(self, config: ViTMSNConfig) -> None: super().__init__() self.dense = nn.Linear(config.hidden_size, config.intermediate_size) if isinstance(config.hidden_act, str): self.intermediate_act_fn = ACT2FN[config.hidden_act] else:...	class_definition	15,415	16,005	/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/models/vit_msn/modeling_vit_msn.py	null	4,681
class ViTMSNOutput(nn.Module): def __init__(self, config: ViTMSNConfig) -> None: super().__init__() self.dense = nn.Linear(config.intermediate_size, config.hidden_size) self.dropout = nn.Dropout(config.hidden_dropout_prob) def forward(self, hidden_states: torch.Tensor, input_tensor: tor...	class_definition	16,086	16,619	/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/models/vit_msn/modeling_vit_msn.py	null	4,682
class ViTMSNLayer(nn.Module): """This corresponds to the Block class in the timm implementation.""" def __init__(self, config: ViTMSNConfig) -> None: super().__init__() self.chunk_size_feed_forward = config.chunk_size_feed_forward self.seq_len_dim = 1 self.attention = VITMSN_ATT...	class_definition	16,797	18,532	/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/models/vit_msn/modeling_vit_msn.py	null	4,683
class ViTMSNEncoder(nn.Module): def __init__(self, config: ViTMSNConfig) -> None: super().__init__() self.config = config self.layer = nn.ModuleList([ViTMSNLayer(config) for _ in range(config.num_hidden_layers)]) self.gradient_checkpointing = False def forward( self, ...	class_definition	18,614	20,544	/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/models/vit_msn/modeling_vit_msn.py	null	4,684
class ViTMSNPreTrainedModel(PreTrainedModel): """ An abstract class to handle weights initialization and a simple interface for downloading and loading pretrained models. """ config_class = ViTMSNConfig base_model_prefix = "vit" main_input_name = "pixel_values" supports_gradient_checkpo...	class_definition	20,547	21,744	/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/models/vit_msn/modeling_vit_msn.py	null	4,685
class ViTMSNModel(ViTMSNPreTrainedModel): def __init__(self, config: ViTMSNConfig, use_mask_token: bool = False): super().__init__(config) self.config = config self.embeddings = ViTMSNEmbeddings(config, use_mask_token=use_mask_token) self.encoder = ViTMSNEncoder(config) sel...	class_definition	23,774	28,005	/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/models/vit_msn/modeling_vit_msn.py	null	4,686
class ViTMSNForImageClassification(ViTMSNPreTrainedModel): def __init__(self, config: ViTMSNConfig) -> None: super().__init__(config) self.num_labels = config.num_labels self.vit = ViTMSNModel(config) # Classifier head self.classifier = nn.Linear(config.hidden_size, config....	class_definition	28,324	32,333	/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/models/vit_msn/modeling_vit_msn.py	null	4,687
class RTDetrImageProcessor(BaseImageProcessor): r""" Constructs a RT-DETR image processor. Args: format (`str`, optional, defaults to `AnnotationFormat.COCO_DETECTION`): Data format of the annotations. One of "coco_detection" or "coco_panoptic". do_resize (`bool`, optional, ...	class_definition	13,953	51,610	/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/models/rt_detr/image_processing_rt_detr.py	null	4,688
class RTDetrResNetConfig(BackboneConfigMixin, PretrainedConfig): r""" This is the configuration class to store the configuration of a [`RTDetrResnetBackbone`]. It is used to instantiate an ResNet model according to the specified arguments, defining the model architecture. Instantiating a configuration w...	class_definition	891	5,521	/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/models/rt_detr/configuration_rt_detr_resnet.py	null	4,689
class MultiScaleDeformableAttentionFunction(Function): @staticmethod def forward( context, value, value_spatial_shapes, value_level_start_index, sampling_locations, attention_weights, im2col_step, ): context.im2col_step = im2col_step ou...	class_definition	2,684	4,128	/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/models/rt_detr/modeling_rt_detr.py	null	4,690
class RTDetrDecoderOutput(ModelOutput): """ Base class for outputs of the RTDetrDecoder. This class adds two attributes to BaseModelOutputWithCrossAttentions, namely: - a stacked tensor of intermediate decoder hidden states (i.e. the output of each decoder layer) - a stacked tensor of intermediate r...	class_definition	4,330	7,310	/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/models/rt_detr/modeling_rt_detr.py	null	4,691
class RTDetrModelOutput(ModelOutput): """ Base class for outputs of the RT-DETR encoder-decoder model. Args: last_hidden_state (`torch.FloatTensor` of shape `(batch_size, num_queries, hidden_size)`): Sequence of hidden-states at the output of the last layer of the decoder of the model. ...	class_definition	7,324	13,250	/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/models/rt_detr/modeling_rt_detr.py	null	4,692
class RTDetrObjectDetectionOutput(ModelOutput): """ Output type of [`RTDetrForObjectDetection`]. Args: loss (`torch.FloatTensor` of shape `(1,)`, optional, returned when `labels` are provided)): Total loss as a linear combination of a negative log-likehood (cross-entropy) for class pr...	class_definition	13,264	20,847	/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/models/rt_detr/modeling_rt_detr.py	null	4,693
class RTDetrFrozenBatchNorm2d(nn.Module): """ BatchNorm2d where the batch statistics and the affine parameters are fixed. Copy-paste from torchvision.misc.ops with added eps before rqsrt, without which any other models than torchvision.models.resnet[18,34,50,101] produce nans. """ def __init__...	class_definition	21,291	22,805	/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/models/rt_detr/modeling_rt_detr.py	null	4,694
class RTDetrConvEncoder(nn.Module): """ Convolutional backbone using the modeling_rt_detr_resnet.py. nn.BatchNorm2d layers are replaced by RTDetrFrozenBatchNorm2d as defined above. https://github.com/lyuwenyu/RT-DETR/blob/main/rtdetr_pytorch/src/nn/backbone/presnet.py#L142 """ def __init__(sel...	class_definition	29,392	30,590	/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/models/rt_detr/modeling_rt_detr.py	null	4,695
class RTDetrConvNormLayer(nn.Module): def __init__(self, config, in_channels, out_channels, kernel_size, stride, padding=None, activation=None): super().__init__() self.conv = nn.Conv2d( in_channels, out_channels, kernel_size, stride, paddi...	class_definition	30,593	31,379	/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/models/rt_detr/modeling_rt_detr.py	null	4,696
class RTDetrEncoderLayer(nn.Module): def __init__(self, config: RTDetrConfig): super().__init__() self.normalize_before = config.normalize_before # self-attention self.self_attn = RTDetrMultiheadAttention( embed_dim=config.encoder_hidden_dim, num_heads=config...	class_definition	31,382	34,932	/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/models/rt_detr/modeling_rt_detr.py	null	4,697
class RTDetrRepVggBlock(nn.Module): """ RepVGG architecture block introduced by the work "RepVGG: Making VGG-style ConvNets Great Again". """ def __init__(self, config: RTDetrConfig): super().__init__() activation = config.activation_function hidden_channels = int(config.encode...	class_definition	34,935	35,686	/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/models/rt_detr/modeling_rt_detr.py	null	4,698
class RTDetrCSPRepLayer(nn.Module): """ Cross Stage Partial (CSP) network layer with RepVGG blocks. """ def __init__(self, config: RTDetrConfig): super().__init__() in_channels = config.encoder_hidden_dim * 2 out_channels = config.encoder_hidden_dim num_blocks = 3 ...	class_definition	35,689	36,960	/Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/models/rt_detr/modeling_rt_detr.py	null	4,699

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