Datasets:
itazap
/
transformers_code_embeddings_v3

Dataset card Data Studio Files
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1
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24
102
embedding
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2.56k
2.56k
tokens
listlengths
4
448
internvl/modeling_internvl.py:InternVLVisionPreTrainedModel
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internvl/modeling_internvl.py:InternVLVisionModel
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internvl/modeling_internvl.py:InternVLPreTrainedModel
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internvl/modeling_internvl.py:InternVLMultiModalProjector
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internvl/modeling_internvl.py:InternVLModelOutputWithPast
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internvl/modeling_internvl.py:InternVLModel
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internvl/modeling_internvl.py:InternVLCausalLMOutputWithPast
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internvl/modeling_internvl.py:InternVLForConditionalGeneration
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d_fine/modeling_d_fine.py:multi_scale_deformable_attention_v2
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d_fine/modeling_d_fine.py:DFineMultiscaleDeformableAttention
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d_fine/modeling_d_fine.py:DFineGate
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d_fine/modeling_d_fine.py:DFineMultiheadAttention
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d_fine/modeling_d_fine.py:DFineDecoderLayer
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d_fine/modeling_d_fine.py:DFinePreTrainedModel
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d_fine/modeling_d_fine.py:DFineIntegral
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d_fine/modeling_d_fine.py:DFineDecoderOutput
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d_fine/modeling_d_fine.py:inverse_sigmoid
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d_fine/modeling_d_fine.py:weighting_function
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d_fine/modeling_d_fine.py:distance2bbox
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d_fine/modeling_d_fine.py:DFineDecoder
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d_fine/modeling_d_fine.py:DFineFrozenBatchNorm2d
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d_fine/modeling_d_fine.py:DFineModelOutput
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d_fine/modeling_d_fine.py:replace_batch_norm
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d_fine/modeling_d_fine.py:DFineConvEncoder
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d_fine/modeling_d_fine.py:get_contrastive_denoising_training_group
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d_fine/modeling_d_fine.py:DFineModel
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d_fine/modeling_d_fine.py:DFineObjectDetectionOutput
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d_fine/modeling_d_fine.py:DFineForObjectDetection
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d_fine/modeling_d_fine.py:DFineMLPPredictionHead
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d_fine/modeling_d_fine.py:DFineMLP
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d_fine/modeling_d_fine.py:DFineLQE
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d_fine/modeling_d_fine.py:DFineConvNormLayer
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d_fine/modeling_d_fine.py:DFineRepVggBlock
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d_fine/modeling_d_fine.py:DFineCSPRepLayer
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d_fine/modeling_d_fine.py:DFineRepNCSPELAN4
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d_fine/modeling_d_fine.py:DFineSCDown
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d_fine/modeling_d_fine.py:DFineEncoder
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d_fine/modeling_d_fine.py:DFineHybridEncoder
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squeezebert/modeling_squeezebert.py:SqueezeBertEmbeddings
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squeezebert/modeling_squeezebert.py:MatMulWrapper
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squeezebert/modeling_squeezebert.py:SqueezeBertLayerNorm
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squeezebert/modeling_squeezebert.py:ConvDropoutLayerNorm
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squeezebert/modeling_squeezebert.py:ConvActivation
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squeezebert/modeling_squeezebert.py:SqueezeBertSelfAttention
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squeezebert/modeling_squeezebert.py:SqueezeBertModule
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squeezebert/modeling_squeezebert.py:SqueezeBertEncoder
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squeezebert/modeling_squeezebert.py:SqueezeBertPooler
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squeezebert/modeling_squeezebert.py:SqueezeBertPredictionHeadTransform
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squeezebert/modeling_squeezebert.py:SqueezeBertLMPredictionHead
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squeezebert/modeling_squeezebert.py:SqueezeBertOnlyMLMHead
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squeezebert/modeling_squeezebert.py:SqueezeBertPreTrainedModel
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squeezebert/modeling_squeezebert.py:SqueezeBertModel
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squeezebert/modeling_squeezebert.py:SqueezeBertForMaskedLM
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squeezebert/modeling_squeezebert.py:SqueezeBertForSequenceClassification
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squeezebert/modeling_squeezebert.py:SqueezeBertForMultipleChoice
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squeezebert/modeling_squeezebert.py:SqueezeBertForTokenClassification
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squeezebert/modeling_squeezebert.py:SqueezeBertForQuestionAnswering
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bit/modeling_bit.py:get_padding_value
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bit/modeling_bit.py:WeightStandardizedConv2d
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bit/modeling_bit.py:BitGroupNormActivation
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bit/modeling_bit.py:DynamicPad2d
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bit/modeling_bit.py:BitMaxPool2d
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bit/modeling_bit.py:BitEmbeddings
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bit/modeling_bit.py:drop_path
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bit/modeling_bit.py:BitDropPath
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bit/modeling_bit.py:make_div
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bit/modeling_bit.py:BitPreActivationBottleneckLayer
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bit/modeling_bit.py:BitBottleneckLayer
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bit/modeling_bit.py:BitDownsampleConv
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bit/modeling_bit.py:BitStage
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bit/modeling_bit.py:BitEncoder
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bit/modeling_bit.py:BitPreTrainedModel
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bit/modeling_bit.py:BitModel
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bit/modeling_bit.py:BitForImageClassification
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bit/modeling_bit.py:BitBackbone
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deberta/modeling_deberta.py:DebertaLayerNorm
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deberta/modeling_deberta.py:DebertaSelfOutput
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deberta/modeling_deberta.py:build_relative_position
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deberta/modeling_deberta.py:c2p_dynamic_expand
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[ "Model_dynamic_expand", "Model_pos", "def", "expand", "query_layer", "relative_pos", "return", "size" ]
deberta/modeling_deberta.py:p2c_dynamic_expand
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[ "Model_dynamic_expand", "c2p_pos", "def", "expand", "key_layer", "query_layer", "return", "size" ]
deberta/modeling_deberta.py:pos_dynamic_expand
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[ "Model_dynamic_expand", "Model_index", "def", "expand", "key_layer", "p2c_att", "return", "size" ]
deberta/modeling_deberta.py:scaled_size_sqrt
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deberta/modeling_deberta.py:build_rpos
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[ "Model_relative_position", "Model_rpos", "def", "else", "if", "key_layer", "query_layer", "relative_pos", "return", "size" ]
deberta/modeling_deberta.py:compute_attention_span
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deberta/modeling_deberta.py:uneven_size_corrected
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[ "Model_size_corrected", "def", "dim", "else", "gather", "if", "index", "key_layer", "p2c_att", "pos_dynamic_expand", "pos_index", "query_layer", "relative_pos", "return", "size", "torch", "unsqueeze" ]
deberta/modeling_deberta.py:DisentangledSelfAttention
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deberta/modeling_deberta.py:DebertaEmbeddings
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deberta/modeling_deberta.py:DebertaAttention
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deberta/modeling_deberta.py:DebertaIntermediate
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deberta/modeling_deberta.py:DebertaOutput
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deberta/modeling_deberta.py:DebertaLayer
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deberta/modeling_deberta.py:DebertaEncoder
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[ "BaseModelOutput", "Embedding", "False", "ModelEncoder", "ModelLayer", "Module", "ModuleList", "None", "True", "_", "__init__", "all_attentions", "all_hidden_states", "and", "att_m", "attention_mask", "attentions", "build_relative_position", "class", "config", "def", "dim",...
deberta/modeling_deberta.py:DebertaPreTrainedModel
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deberta/modeling_deberta.py:DebertaModel
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deberta/modeling_deberta.py:LegacyDebertaPredictionHeadTransform
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[ "ACT2FN", "LayerNorm", "Linear", "ModelModelPredictionHeadTransform", "Module", "__init__", "class", "config", "def", "dense", "else", "embedding_size", "eps", "forward", "getattr", "hidden_act", "hidden_size", "hidden_states", "if", "isinstance", "layer_norm_eps", "nn", ...
deberta/modeling_deberta.py:LegacyDebertaLMPredictionHead
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[ "Linear", "ModelModelLMPredictionHead", "ModelModelPredictionHeadTransform", "Module", "Parameter", "__init__", "bias", "class", "config", "decoder", "def", "embedding_size", "forward", "getattr", "hidden_size", "hidden_states", "nn", "return", "self", "super", "torch", "tr...
deberta/modeling_deberta.py:LegacyDebertaOnlyMLMHead
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[ "ModelModelLMPredictionHead", "ModelModelOnlyMLMHead", "Module", "__init__", "class", "config", "def", "forward", "nn", "prediction_scores", "predictions", "return", "self", "sequence_output", "super" ]
deberta/modeling_deberta.py:DebertaLMPredictionHead
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[ "ACT2FN", "LayerNorm", "Linear", "ModelLMPredictionHead", "Module", "Parameter", "True", "__init__", "bias", "class", "config", "def", "dense", "elementwise_affine", "else", "eps", "forward", "hidden_act", "hidden_size", "hidden_states", "if", "isinstance", "layer_norm_ep...
deberta/modeling_deberta.py:DebertaOnlyMLMHead
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[ "ModelLMPredictionHead", "ModelOnlyMLMHead", "Module", "__init__", "class", "config", "def", "forward", "lm_head", "nn", "prediction_scores", "return", "self", "sequence_output", "super", "word_embeddings" ]