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
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4
448
x_clip/modeling_x_clip.py:XCLIPPromptGenerator
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x_clip/modeling_x_clip.py:XCLIPModel
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[ "False", "LayerNorm", "Linear", "Model", "ModelConfig", "ModelMultiframeIntegrationTransformer", "ModelOutput", "ModelPreTrainedModel", "ModelPromptGenerator", "ModelTextConfig", "ModelTextTransformer", "ModelVisionConfig", "ModelVisionTransformer", "Model_loss", "None", "Parameter", ...
data2vec/modeling_data2vec_vision.py:Data2VecVisionModelOutputWithPooling
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[ "BaseModelOutputWithPooling", "ModelVisionModelOutputWithPooling", "class", "r" ]
data2vec/modeling_data2vec_vision.py:drop_path
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data2vec/modeling_data2vec_vision.py:Data2VecVisionDropPath
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data2vec/modeling_data2vec_vision.py:Data2VecVisionEmbeddings
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[ "Dropout", "False", "Iterable", "ModelVisionEmbeddings", "ModelVisionPatchEmbeddings", "Module", "None", "Parameter", "_", "__init__", "abc", "align_corners", "and", "batch_size", "bicubic", "bool_masked_pos", "cat", "class", "class_pos_embed", "cls_token", "cls_tokens", "c...
data2vec/modeling_data2vec_vision.py:Data2VecVisionPatchEmbeddings
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data2vec/modeling_data2vec_vision.py:Data2VecVisionSelfAttention
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data2vec/modeling_data2vec_vision.py:Data2VecVisionSdpaSelfAttention
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data2vec/modeling_data2vec_vision.py:Data2VecVisionSelfOutput
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data2vec/modeling_data2vec_vision.py:Data2VecVisionAttention
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[ "False", "ModelVisionAttention", "ModelVisionSelfOutput", "Model_VISION_SELF_ATTENTION_CLASSES", "Module", "None", "__init__", "_attn_implementation", "attention", "attention_output", "class", "config", "def", "forward", "hidden_states", "interpolate_pos_encoding", "nn", "output", ...
data2vec/modeling_data2vec_vision.py:Data2VecVisionIntermediate
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data2vec/modeling_data2vec_vision.py:Data2VecVisionOutput
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data2vec/modeling_data2vec_vision.py:Data2VecVisionLayer
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[ "False", "GradientCheckpointingLayer", "Identity", "LayerNorm", "ModelVisionAttention", "ModelVisionDropPath", "ModelVisionIntermediate", "ModelVisionLayer", "ModelVisionOutput", "None", "Parameter", "True", "__init__", "attention", "attention_output", "chunk_size_feed_forward", "cla...
data2vec/modeling_data2vec_vision.py:Data2VecVisionRelativePositionBias
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[ "False", "ModelVisionRelativePositionBias", "Module", "None", "Parameter", "__init__", "align_corners", "arange", "bilinear", "cat", "class", "compile_compatible_method_lru_cache", "config", "contiguous", "coords", "coords_flatten", "def", "dim_size", "dtype", "flatten", "for...
data2vec/modeling_data2vec_vision.py:Data2VecVisionEncoder
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[ "BaseModelOutput", "False", "ModelVisionEncoder", "ModelVisionLayer", "ModelVisionRelativePositionBias", "Module", "ModuleList", "None", "True", "__init__", "all_hidden_states", "all_self_attentions", "attentions", "class", "config", "cpu", "def", "device", "dim_size", "dpr", ...
data2vec/modeling_data2vec_vision.py:Data2VecVisionPreTrainedModel
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[ "ModelVisionConfig", "ModelVisionEmbeddings", "ModelVisionLayer", "ModelVisionPreTrainedModel", "ModelVisionRelativePositionBias", "Model_vision", "None", "PreTrainedModel", "True", "_init_weights", "_keys_to_ignore_on_load_unexpected", "_no_split_modules", "_supports_sdpa", "base_model_pr...
data2vec/modeling_data2vec_vision.py:Data2VecVisionModel
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[ "False", "Identity", "LayerNorm", "ModelVisionEmbeddings", "ModelVisionEncoder", "ModelVisionModel", "ModelVisionModelOutputWithPooling", "ModelVisionPooler", "ModelVisionPreTrainedModel", "None", "_", "__init__", "add_pooling_layer", "attentions", "auto_docstring", "bool_masked_pos", ...
data2vec/modeling_data2vec_vision.py:Data2VecVisionPooler
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data2vec/modeling_data2vec_vision.py:Data2VecVisionForImageClassification
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data2vec/modeling_data2vec_vision.py:Data2VecVisionConvModule
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[ "BatchNorm2d", "Conv2d", "ModelVisionConvModule", "Module", "ReLU", "__init__", "activation", "bn", "class", "conv", "def", "dilation", "forward", "in_channels", "input", "int", "kernel_size", "nn", "out_channels", "output", "padding", "return", "self", "str", "super"...
data2vec/modeling_data2vec_vision.py:Data2VecVisionPyramidPoolingBlock
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[ "AdaptiveAvgPool2d", "ModelVisionConvModule", "ModelVisionPyramidPoolingBlock", "Module", "__init__", "add_module", "channels", "class", "def", "enumerate", "for", "forward", "hidden_state", "i", "in", "in_channels", "input", "kernel_size", "layer", "layers", "nn", "pool_sc...
data2vec/modeling_data2vec_vision.py:Data2VecVisionPyramidPoolingModule
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[ "ModelVisionPyramidPoolingBlock", "ModelVisionPyramidPoolingModule", "Module", "__init__", "add_module", "align_corners", "append", "bilinear", "block", "blocks", "channels", "class", "def", "enumerate", "for", "forward", "functional", "i", "in", "in_channels", "interpolate",...
data2vec/modeling_data2vec_vision.py:Data2VecVisionUperHead
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[ "Conv2d", "False", "ModelVisionConvModule", "ModelVisionPyramidPoolingModule", "ModelVisionUperHead", "Module", "ModuleList", "__init__", "align_corners", "append", "bilinear", "bottleneck", "cat", "channels", "class", "classifier", "config", "def", "dim", "encoder_hidden_state...
data2vec/modeling_data2vec_vision.py:Data2VecVisionFCNHead
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data2vec/modeling_data2vec_vision.py:Data2VecVisionForSemanticSegmentation
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[ "BatchNorm2d", "ConvTranspose2d", "CrossEntropyLoss", "False", "GELU", "Identity", "MaxPool2d", "ModelVisionFCNHead", "ModelVisionForSemanticSegmentation", "ModelVisionModel", "ModelVisionPreTrainedModel", "ModelVisionUperHead", "Model_vision", "None", "One", "SemanticSegmenterOutput",...
data2vec/modeling_data2vec_audio.py:Data2VecAudioConvLayer
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data2vec/modeling_data2vec_audio.py:Data2VecAudioPadLayer
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[ "ModelAudioPadLayer", "Module", "__init__", "class", "def", "else", "forward", "hidden_states", "if", "nn", "num_conv_pos_embeddings", "num_pad_remove", "return", "self", "super" ]
data2vec/modeling_data2vec_audio.py:Data2VecAudioPositionalConvLayer
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data2vec/modeling_data2vec_audio.py:Data2VecAudioPositionalConvEmbedding
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[ "ModelAudioPositionalConvEmbedding", "ModelAudioPositionalConvLayer", "Module", "ModuleList", "_", "__init__", "class", "config", "def", "for", "forward", "hidden_states", "in", "layer", "layers", "nn", "num_conv_pos_embeddings", "range", "return", "self", "super", "transpo...
data2vec/modeling_data2vec_audio.py:Data2VecAudioFeatureEncoder
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data2vec/modeling_data2vec_audio.py:Data2VecAudioFeatureProjection
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data2vec/modeling_data2vec_audio.py:eager_attention_forward
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data2vec/modeling_data2vec_audio.py:Data2VecAudioAttention
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data2vec/modeling_data2vec_audio.py:Data2VecAudioFeedForward
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data2vec/modeling_data2vec_audio.py:Data2VecAudioEncoderLayer
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data2vec/modeling_data2vec_audio.py:Data2VecAudioEncoder
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data2vec/modeling_data2vec_audio.py:Data2VecAudioAdapterLayer
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data2vec/modeling_data2vec_audio.py:Data2VecAudioAdapter
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data2vec/modeling_data2vec_audio.py:Data2VecAudioPreTrainedModel
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data2vec/modeling_data2vec_audio.py:_compute_mask_indices
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data2vec/modeling_data2vec_audio.py:Data2VecAudioModel
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data2vec/modeling_data2vec_audio.py:Data2VecAudioForCTC
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data2vec/modeling_data2vec_audio.py:Data2VecAudioForSequenceClassification
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data2vec/modeling_data2vec_audio.py:Data2VecAudioForAudioFrameClassification
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data2vec/modeling_data2vec_audio.py:AMSoftmaxLoss
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data2vec/modeling_data2vec_audio.py:TDNNLayer
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data2vec/modeling_data2vec_audio.py:Data2VecAudioForXVector
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data2vec/modeling_data2vec_text.py:Data2VecTextEmbeddings
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data2vec/modeling_data2vec_text.py:eager_attention_forward
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data2vec/modeling_data2vec_text.py:Data2VecTextSelfAttention
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data2vec/modeling_data2vec_text.py:Data2VecTextCrossAttention
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data2vec/modeling_data2vec_text.py:Data2VecTextSelfOutput
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data2vec/modeling_data2vec_text.py:Data2VecTextAttention
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data2vec/modeling_data2vec_text.py:Data2VecTextIntermediate
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data2vec/modeling_data2vec_text.py:Data2VecTextOutput
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data2vec/modeling_data2vec_text.py:Data2VecTextLayer
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data2vec/modeling_data2vec_text.py:Data2VecTextPreTrainedModel
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data2vec/modeling_data2vec_text.py:Data2VecTextEncoder
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data2vec/modeling_data2vec_text.py:Data2VecTextPooler
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data2vec/modeling_data2vec_text.py:Data2VecTextModel
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data2vec/modeling_data2vec_text.py:Data2VecTextLMHead
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data2vec/modeling_data2vec_text.py:Data2VecTextClassificationHead
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data2vec/modeling_data2vec_text.py:Data2VecTextForCausalLM
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data2vec/modeling_data2vec_text.py:Data2VecTextForMaskedLM
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data2vec/modeling_data2vec_text.py:Data2VecTextForSequenceClassification
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data2vec/modeling_data2vec_text.py:Data2VecTextForMultipleChoice
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data2vec/modeling_data2vec_text.py:Data2VecTextForTokenClassification
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data2vec/modeling_data2vec_text.py:Data2VecTextForQuestionAnswering
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glpn/modeling_glpn.py:drop_path
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glpn/modeling_glpn.py:GLPNDropPath
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glpn/modeling_glpn.py:GLPNOverlapPatchEmbeddings
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glpn/modeling_glpn.py:GLPNEfficientSelfAttention
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glpn/modeling_glpn.py:GLPNSelfOutput
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glpn/modeling_glpn.py:GLPNAttention
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glpn/modeling_glpn.py:GLPNDWConv
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glpn/modeling_glpn.py:GLPNMixFFN
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glpn/modeling_glpn.py:GLPNLayer
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glpn/modeling_glpn.py:GLPNEncoder
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glpn/modeling_glpn.py:GLPNPreTrainedModel
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glpn/modeling_glpn.py:GLPNModel
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glpn/modeling_glpn.py:GLPNSelectiveFeatureFusion
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glpn/modeling_glpn.py:GLPNDecoderStage
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glpn/modeling_glpn.py:GLPNDecoder
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glpn/modeling_glpn.py:SiLogLoss
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glpn/modeling_glpn.py:GLPNDepthEstimationHead
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glpn/modeling_glpn.py:GLPNForDepthEstimation
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blenderbot/modeling_blenderbot.py:shift_tokens_right
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blenderbot/modeling_blenderbot.py:BlenderbotLearnedPositionalEmbedding
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blenderbot/modeling_blenderbot.py:BlenderbotScaledWordEmbedding
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blenderbot/modeling_blenderbot.py:eager_attention_forward
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blenderbot/modeling_blenderbot.py:BlenderbotAttention
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blenderbot/modeling_blenderbot.py:BlenderbotEncoderLayer
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blenderbot/modeling_blenderbot.py:BlenderbotDecoderLayer
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[ "ACT2FN", "False", "GradientCheckpointingLayer", "LayerNorm", "Linear", "ModelAttention", "ModelDecoderLayer", "None", "True", "__init__", "activation_dropout", "activation_fn", "activation_function", "attention_dropout", "attention_mask", "cache_position", "class", "config", "cr...
blenderbot/modeling_blenderbot.py:BlenderbotPreTrainedModel
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[ "ModelConfig", "ModelForConditionalGeneration", "ModelPreTrainedModel", "PreTrainedModel", "True", "_can_compile_fullgraph", "_init_weights", "_supports_flash_attn", "_supports_flex_attn", "_supports_sdpa", "attention_mask", "base_model_prefix", "class", "config", "decoder_input_ids", ...
blenderbot/modeling_blenderbot.py:BlenderbotEncoder
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[ "BaseModelOutput", "False", "LayerNorm", "ModelEncoder", "ModelEncoderLayer", "ModelLearnedPositionalEmbedding", "ModelPreTrainedModel", "ModelScaledWordEmbedding", "ModuleList", "None", "True", "_", "__init__", "all_attentions", "and", "attention_mask", "attentions", "class", "c...
blenderbot/modeling_blenderbot.py:BlenderbotDecoder
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[ "BaseModelOutputWithPastAndCrossAttentions", "DynamicCache", "EncoderDecoderCache", "False", "LayerNorm", "ModelDecoder", "ModelDecoderLayer", "ModelLearnedPositionalEmbedding", "ModelPreTrainedModel", "ModelScaledWordEmbedding", "ModuleList", "None", "Setting", "True", "ValueError", "...
blenderbot/modeling_blenderbot.py:BlenderbotModel
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[ "BaseModelOutput", "ModelDecoder", "ModelEncoder", "ModelModel", "ModelPreTrainedModel", "ModelScaledWordEmbedding", "None", "Seq2SeqModelOutput", "__init__", "_tied_weights_keys", "and", "attention_mask", "attentions", "auto_docstring", "cache_position", "class", "config", "cross_...
blenderbot/modeling_blenderbot.py:BlenderbotForConditionalGeneration
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[ "CrossEntropyLoss", "False", "GenerationMixin", "Linear", "ModelForConditionalGeneration", "ModelModel", "ModelPreTrainedModel", "None", "Seq2SeqLMOutput", "True", "__init__", "_keys_to_ignore_on_load_missing", "_resize_final_logits_bias", "_tied_weights_keys", "and", "attention_mask",...
blenderbot/modeling_blenderbot.py:BlenderbotDecoderWrapper
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[ "ModelDecoder", "ModelDecoderWrapper", "ModelPreTrainedModel", "__init__", "args", "class", "config", "decoder", "def", "forward", "kwargs", "post_init", "return", "self", "super" ]