Datasets:
itazap
/
transformers_code_embeddings_v3

Dataset card Data Studio Files
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1
identifier
stringlengths
24
117
embedding
listlengths
2.56k
2.56k
tokens
listlengths
4
444
hubert/modeling_hubert.py:HubertForCTC
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hubert/modeling_hubert.py:HubertForSequenceClassification
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pp_ocrv5_server_rec/modeling_pp_ocrv5_server_rec.py:PPOCRV5ServerRecBlock
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pp_ocrv5_server_rec/modeling_pp_ocrv5_server_rec.py:eager_attention_forward
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pp_ocrv5_server_rec/modeling_pp_ocrv5_server_rec.py:PPOCRV5ServerRecAttention
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pp_ocrv5_server_rec/modeling_pp_ocrv5_server_rec.py:PPOCRV5ServerRecConvLayer
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pp_ocrv5_server_rec/modeling_pp_ocrv5_server_rec.py:PPOCRV5ServerRecPreTrainedModel
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pp_ocrv5_server_rec/modeling_pp_ocrv5_server_rec.py:PPOCRV5ServerRecHead
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pp_ocrv5_server_rec/modeling_pp_ocrv5_server_rec.py:PPOCRV5ServerRecMLP
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pp_ocrv5_server_rec/modeling_pp_ocrv5_server_rec.py:PPOCRV5ServerRecEncoderWithSVTR
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pp_ocrv5_server_rec/modeling_pp_ocrv5_server_rec.py:PPOCRV5ServerRecModel
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pp_ocrv5_server_rec/modeling_pp_ocrv5_server_rec.py:PPOCRV5ServerRecForTextRecognitionOutput
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[ "BaseModelOutputWithNoAttention", "Model", "None", "class", "head_hidden_states", "r" ]
pp_ocrv5_server_rec/modeling_pp_ocrv5_server_rec.py:PPOCRV5ServerRecForTextRecognition
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glm4_moe/modeling_glm4_moe.py:Glm4MoeRotaryEmbedding
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glm4_moe/modeling_glm4_moe.py:repeat_kv
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glm4_moe/modeling_glm4_moe.py:eager_attention_forward
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glm4_moe/modeling_glm4_moe.py:rotate_half
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[ "Model_half", "cat", "def", "dim", "return", "shape", "torch", "x", "x1", "x2" ]
glm4_moe/modeling_glm4_moe.py:apply_rotary_pos_emb
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glm4_moe/modeling_glm4_moe.py:Glm4MoeAttention
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[ "ALL_ATTENTION_FUNCTIONS", "Linear", "ModelAttention", "ModelRMSNorm", "Module", "None", "Tensor", "True", "__init__", "_attn_implementation", "apply_rotary_pos_emb", "attention_dropout", "attention_interface", "attention_mask", "attn_output", "attn_weights", "class", "config", "...
glm4_moe/modeling_glm4_moe.py:Glm4MoeMLP
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glm4_moe/modeling_glm4_moe.py:Glm4MoeTopkRouter
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glm4_moe/modeling_glm4_moe.py:Glm4MoeRMSNorm
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glm4_moe/modeling_glm4_moe.py:Glm4MoeExperts
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glm4_moe/modeling_glm4_moe.py:Glm4MoeMoE
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glm4_moe/modeling_glm4_moe.py:Glm4MoeDecoderLayer
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glm4_moe/modeling_glm4_moe.py:Glm4MoePreTrainedModel
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glm4_moe/modeling_glm4_moe.py:Glm4MoeModel
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glm4_moe/modeling_glm4_moe.py:Glm4MoeForCausalLM
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oneformer/modeling_oneformer.py:_get_clones
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oneformer/modeling_oneformer.py:multi_scale_deformable_attention
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oneformer/modeling_oneformer.py:dice_loss
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oneformer/modeling_oneformer.py:sigmoid_cross_entropy_loss
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oneformer/modeling_oneformer.py:pair_wise_dice_loss
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oneformer/modeling_oneformer.py:pair_wise_sigmoid_cross_entropy_loss
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oneformer/modeling_oneformer.py:sample_point
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oneformer/modeling_oneformer.py:OneFormerHungarianMatcher
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oneformer/modeling_oneformer.py:OneFormerLoss
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oneformer/modeling_oneformer.py:OneFormerTransformerDecoderOutput
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oneformer/modeling_oneformer.py:OneFormerPixelDecoderOutput
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oneformer/modeling_oneformer.py:OneFormerPixelLevelModuleOutput
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oneformer/modeling_oneformer.py:OneFormerModelOutput
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oneformer/modeling_oneformer.py:OneFormerForUniversalSegmentationOutput
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oneformer/modeling_oneformer.py:OneFormerPixelDecoderEncoderMultiscaleDeformableAttention
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oneformer/modeling_oneformer.py:OneFormerPixelDecoderEncoderLayer
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oneformer/modeling_oneformer.py:OneFormerPixelDecoderEncoderOnly
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oneformer/modeling_oneformer.py:OneFormerPixelDecoder
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oneformer/modeling_oneformer.py:OneFormerPixelLevelModule
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oneformer/modeling_oneformer.py:OneFormerAttention
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oneformer/modeling_oneformer.py:OneFormerTransformerDecoderSelfAttentionLayer
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oneformer/modeling_oneformer.py:OneFormerTransformerDecoderCrossAttentionLayer
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oneformer/modeling_oneformer.py:OneFormerTransformerDecoderFFNLayer
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oneformer/modeling_oneformer.py:OneFormerMLPPredictionHead
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oneformer/modeling_oneformer.py:OneFormerTransformerDecoderLayer
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oneformer/modeling_oneformer.py:OneFormerTransformerDecoderQueryTransformerDecoder
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oneformer/modeling_oneformer.py:OneFormerTransformerDecoderQueryTransformerDecoderLayer
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oneformer/modeling_oneformer.py:OneFormerTransformerDecoderQueryTransformer
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oneformer/modeling_oneformer.py:OneFormerTransformerDecoder
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oneformer/modeling_oneformer.py:OneFormerTransformerModule
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oneformer/modeling_oneformer.py:OneFormerSinePositionEmbedding
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oneformer/modeling_oneformer.py:PredictionBlock
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oneformer/modeling_oneformer.py:OneFormerTextMapperAttention
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oneformer/modeling_oneformer.py:OneFormerTextTransformerDecoderLayer
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oneformer/modeling_oneformer.py:OneFormerTextContextDecoder
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oneformer/modeling_oneformer.py:OneFormerTextMLP
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oneformer/modeling_oneformer.py:OneFormerTextTransformerLayer
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oneformer/modeling_oneformer.py:OneFormerTextTransformer
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oneformer/modeling_oneformer.py:OneFormerTextEncoder
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oneformer/modeling_oneformer.py:OneFormerTextMapper
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oneformer/modeling_oneformer.py:OneFormerTaskModel
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oneformer/modeling_oneformer.py:OneFormerPreTrainedModel
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oneformer/modeling_oneformer.py:OneFormerModel
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oneformer/modeling_oneformer.py:OneFormerForUniversalSegmentation
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donut/modeling_donut_swin.py:DonutSwinEncoderOutput
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[ "ModelOutput", "ModelSwinEncoderOutput", "None", "attentions", "class", "hidden_states", "last_hidden_state", "r", "reshaped_hidden_states" ]
donut/modeling_donut_swin.py:DonutSwinModelOutput
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donut/modeling_donut_swin.py:DonutSwinImageClassifierOutput
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[ "ModelOutput", "ModelSwinImageClassifierOutput", "None", "attentions", "class", "hidden_states", "logits", "loss", "r", "reshaped_hidden_states" ]
donut/modeling_donut_swin.py:window_partition
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[ "Model_partition", "Model_size", "Models", "batch_size", "contiguous", "def", "height", "input_feature", "num_channels", "return", "shape", "transpose", "view", "width" ]
donut/modeling_donut_swin.py:window_reverse
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[ "Model_reverse", "Model_size", "Models", "contiguous", "def", "height", "num_channels", "return", "shape", "transpose", "view", "width" ]
donut/modeling_donut_swin.py:DonutSwinEmbeddings
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donut/modeling_donut_swin.py:DonutSwinPatchEmbeddings
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donut/modeling_donut_swin.py:DonutSwinPatchMerging
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donut/modeling_donut_swin.py:DonutSwinSelfAttention
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donut/modeling_donut_swin.py:DonutSwinSelfOutput
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donut/modeling_donut_swin.py:DonutSwinAttention
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donut/modeling_donut_swin.py:DonutSwinIntermediate
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donut/modeling_donut_swin.py:DonutSwinOutput
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donut/modeling_donut_swin.py:DonutDropPath
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donut/modeling_donut_swin.py:DonutSwinLayer
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donut/modeling_donut_swin.py:DonutSwinStage
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donut/modeling_donut_swin.py:DonutSwinEncoder
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donut/modeling_donut_swin.py:DonutSwinPreTrainedModel
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donut/modeling_donut_swin.py:DonutSwinModel
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donut/modeling_donut_swin.py:DonutSwinForImageClassification
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florence2/modeling_florence2.py:Florence2VisionLearnedAbsolutePositionEmbedding2D
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florence2/modeling_florence2.py:Florence2VisionPositionalEmbeddingCosine1D
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florence2/modeling_florence2.py:Florence2VisionMLP
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florence2/modeling_florence2.py:Florence2VisionConvEmbed
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florence2/modeling_florence2.py:Florence2DropPath
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florence2/modeling_florence2.py:eager_attention_forward
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florence2/modeling_florence2.py:Florence2VisionChannelAttention
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florence2/modeling_florence2.py:Florence2VisionChannelBlock
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