Datasets:
itazap
/
transformers_code_embeddings_v3

Dataset card Data Studio Files
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 Community
1
identifier
stringlengths
24
117
embedding
listlengths
2.56k
2.56k
tokens
listlengths
4
444
canine/modeling_canine.py:CaninePooler
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[ "Linear", "ModelPooler", "Module", "Tanh", "__init__", "activation", "class", "config", "def", "dense", "first_token_tensor", "forward", "hidden_size", "hidden_states", "nn", "pooled_output", "return", "self", "super" ]
canine/modeling_canine.py:CaninePredictionHeadTransform
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[ "ACT2FN", "LayerNorm", "Linear", "ModelPredictionHeadTransform", "Module", "__init__", "class", "config", "def", "dense", "else", "eps", "forward", "hidden_act", "hidden_size", "hidden_states", "if", "isinstance", "layer_norm_eps", "nn", "return", "self", "str", "super"...
canine/modeling_canine.py:CanineLMPredictionHead
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canine/modeling_canine.py:CanineOnlyMLMHead
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[ "ModelLMPredictionHead", "ModelOnlyMLMHead", "Module", "__init__", "class", "config", "def", "forward", "nn", "prediction_scores", "predictions", "return", "self", "sequence_output", "super" ]
canine/modeling_canine.py:CaninePreTrainedModel
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[ "Model", "ModelConfig", "ModelEmbeddings", "ModelPreTrainedModel", "PreTrainedModel", "True", "_init_weights", "arange", "base_model_prefix", "class", "config", "copy_", "def", "expand", "if", "init", "isinstance", "module", "position_ids", "self", "shape", "super", "supp...
canine/modeling_canine.py:CanineModel
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[ "CharactersToMolecules", "ConvProjection", "False", "MaxPool1d", "ModelEmbeddings", "ModelEncoder", "ModelModel", "ModelModelOutputWithPooling", "ModelPooler", "ModelPreTrainedModel", "None", "True", "__init__", "_create_3d_attention_mask_from_input_mask", "_downsample_attention_mask", ...
canine/modeling_canine.py:CanineForSequenceClassification
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[ "BCEWithLogitsLoss", "CrossEntropyLoss", "Dropout", "Linear", "MSELoss", "Model", "ModelForSequenceClassification", "ModelModel", "ModelPreTrainedModel", "None", "SequenceClassifierOutput", "__init__", "and", "attention_mask", "attentions", "auto_docstring", "class", "classifier", ...
canine/modeling_canine.py:CanineForMultipleChoice
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[ "CrossEntropyLoss", "Dropout", "Linear", "Model", "ModelForMultipleChoice", "ModelModel", "ModelPreTrainedModel", "MultipleChoiceModelOutput", "None", "__init__", "attention_mask", "attentions", "auto_docstring", "class", "classifier", "config", "def", "dropout", "else", "forwa...
canine/modeling_canine.py:CanineForTokenClassification
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[ "CrossEntropyLoss", "Dropout", "Linear", "Model", "ModelForTokenClassification", "ModelModel", "ModelPreTrainedModel", "None", "TokenClassifierOutput", "__init__", "attention_mask", "attentions", "auto_docstring", "class", "classifier", "config", "def", "dropout", "else", "forw...
canine/modeling_canine.py:CanineForQuestionAnswering
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granite4_vision/modeling_granite4_vision.py:Granite4VisionModelOutputWithPast
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[ "BaseModelOutputWithPast", "ModelModelOutputWithPast", "None", "class", "deepstack_features", "image_hidden_states", "r" ]
granite4_vision/modeling_granite4_vision.py:Granite4VisionCausalLMOutputWithPast
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[ "ModelCausalLMOutputWithPast", "ModelOutput", "None", "attentions", "class", "deepstack_features", "hidden_states", "image_hidden_states", "logits", "loss", "past_key_values", "r" ]
granite4_vision/modeling_granite4_vision.py:Granite4VisionImageFeaturesOutput
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[ "BaseModelOutputWithPooling", "ModelImageFeaturesOutput", "None", "class", "deepstack_features", "r" ]
granite4_vision/modeling_granite4_vision.py:interpolate_downsample
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[ "Model", "Model_downsample", "_", "area", "batch", "channels", "def", "flatten", "functional", "image_features", "mode", "new_side", "nn", "orig_side", "permute", "return", "size", "spatial", "torch", "view" ]
granite4_vision/modeling_granite4_vision.py:spatial_offset_downsample
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[ "Model_offset_downsample", "_", "batch", "channels", "def", "grid", "image_features", "new_side", "offset", "offset_h", "offset_w", "orig_side", "reshape", "return", "shape" ]
granite4_vision/modeling_granite4_vision.py:Granite4VisionWindowQFormerDownsampler
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[ "AutoModel", "Check", "Dropout", "Expected", "Fraction", "LayerNorm", "Linear", "ModelWindowQFormerDownsampler", "Module", "None", "Parameter", "True", "ValueError", "_", "__init__", "_downsample_rate", "_spatial_offset", "_unwindowed_raster", "_windowed_raster", "and", "batc...
granite4_vision/modeling_granite4_vision.py:Granite4VisionTextRotaryEmbedding
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[ "False", "ModelTextRotaryEmbedding", "Module", "None", "ROPE_INIT_FUNCTIONS", "Tensor", "__init__", "and", "arange", "attention_factor", "attention_scaling", "base", "cat", "class", "clone", "compute_default_rope_parameters", "config", "cos", "cpu", "def", "default", "depre...
granite4_vision/modeling_granite4_vision.py:rotate_half
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[ "Model_half", "cat", "def", "dim", "return", "shape", "torch", "x", "x1", "x2" ]
granite4_vision/modeling_granite4_vision.py:apply_rotary_pos_emb
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[ "Model_rotary_pos_emb", "cos", "def", "k", "k_embed", "q", "q_embed", "return", "rotate_half", "sin", "unsqueeze", "unsqueeze_dim" ]
granite4_vision/modeling_granite4_vision.py:repeat_kv
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[ "Model_kv", "None", "batch", "def", "expand", "head_dim", "hidden_states", "if", "n_rep", "num_key_value_heads", "reshape", "return", "shape", "slen" ]
granite4_vision/modeling_granite4_vision.py:eager_attention_forward
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[ "Model_attention_forward", "None", "attention_mask", "attn_output", "attn_weights", "contiguous", "def", "dim", "dropout", "dtype", "float32", "functional", "if", "is", "key", "key_states", "kwargs", "matmul", "module", "nn", "not", "num_key_value_groups", "p", "query",...
granite4_vision/modeling_granite4_vision.py:Granite4VisionTextAttention
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[ "ALL_ATTENTION_FUNCTIONS", "Linear", "ModelTextAttention", "Module", "None", "Tensor", "True", "__init__", "_attn_implementation", "apply_rotary_pos_emb", "attention_dropout", "attention_interface", "attention_mask", "attention_multiplier", "attn_output", "attn_weights", "class", "...
granite4_vision/modeling_granite4_vision.py:Granite4VisionTextRMSNorm
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granite4_vision/modeling_granite4_vision.py:Granite4VisionTextMLP
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granite4_vision/modeling_granite4_vision.py:Granite4VisionTextDecoderLayer
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[ "False", "GradientCheckpointingLayer", "ModelTextAttention", "ModelTextDecoderLayer", "ModelTextMLP", "ModelTextRMSNorm", "None", "Tensor", "_", "__init__", "attention_mask", "class", "config", "def", "eps", "forward", "hidden_size", "hidden_states", "input_layernorm", "kwargs"...
granite4_vision/modeling_granite4_vision.py:Granite4VisionPreTrainedModel
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[ "ModelConfig", "ModelModel", "ModelPreTrainedModel", "ModelTextAttention", "ModelTextDecoderLayer", "ModelWindowQFormerDownsampler", "PreTrainedModel", "True", "_can_compile_fullgraph", "_can_record_outputs", "_init_weights", "_no_split_modules", "_skip_keys_device_placement", "_supports_a...
granite4_vision/modeling_granite4_vision.py:Granite4VisionTextModel
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[ "BaseModelOutputWithPast", "Embedding", "False", "ModelPreTrainedModel", "ModelTextConfig", "ModelTextDecoderLayer", "ModelTextModel", "ModelTextRMSNorm", "ModelTextRotaryEmbedding", "ModuleList", "None", "Tensor", "ValueError", "You", "__init__", "and", "arange", "attention_mask",...
granite4_vision/modeling_granite4_vision.py:get_anyres_image_grid_shape
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granite4_vision/modeling_granite4_vision.py:image_size_to_num_patches
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granite4_vision/modeling_granite4_vision.py:unpad_image
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granite4_vision/modeling_granite4_vision.py:Granite4VisionModel
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[ "AutoModel", "CLS", "Fraction", "Image", "ModelConfig", "ModelImageFeaturesOutput", "ModelModel", "ModelModelOutputWithPast", "ModelPreTrainedModel", "ModelTextModel", "ModelWindowQFormerDownsampler", "ModuleList", "None", "Obtains", "Parameter", "True", "ValueError", "You", "_",...
granite4_vision/modeling_granite4_vision.py:Granite4VisionForConditionalGeneration
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ernie4_5/modeling_ernie4_5.py:rotate_half
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ernie4_5/modeling_ernie4_5.py:apply_rotary_pos_emb
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ernie4_5/modeling_ernie4_5.py:Ernie4_5Attention
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ernie4_5/modeling_ernie4_5.py:Ernie4_5RMSNorm
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ernie4_5/modeling_ernie4_5.py:Ernie4_5DecoderLayer
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ernie4_5/modeling_ernie4_5.py:Ernie4_5PreTrainedModel
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ernie4_5/modeling_ernie4_5.py:Ernie4_5Model
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ernie4_5/modeling_ernie4_5.py:Ernie4_5ForCausalLM
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bridgetower/modeling_bridgetower.py:BridgeTowerModelOutput
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bridgetower/modeling_bridgetower.py:BridgeTowerContrastiveOutput
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bridgetower/modeling_bridgetower.py:BridgeTowerResidualAttention
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bridgetower/modeling_bridgetower.py:BridgeTowerTransformer
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bridgetower/modeling_bridgetower.py:BridgeTowerVisionEmbeddings
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bridgetower/modeling_bridgetower.py:BridgeTowerVisionTransformer
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bridgetower/modeling_bridgetower.py:BridgeTowerLinkTower
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bridgetower/modeling_bridgetower.py:BridgeTowerSelfOutput
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bridgetower/modeling_bridgetower.py:BridgeTowerIntermediate
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bridgetower/modeling_bridgetower.py:BridgeTowerOutput
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bridgetower/modeling_bridgetower.py:BridgeTowerPooler
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bridgetower/modeling_bridgetower.py:eager_attention_forward
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bridgetower/modeling_bridgetower.py:BridgeTowerSelfAttention
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bridgetower/modeling_bridgetower.py:BridgeTowerCrossAttention
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bridgetower/modeling_bridgetower.py:BridgeTowerAttention
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bridgetower/modeling_bridgetower.py:BridgeTowerBertCrossLayer
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bridgetower/modeling_bridgetower.py:BridgeTowerTextLayer
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bridgetower/modeling_bridgetower.py:BridgeTowerTextEncoder
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bridgetower/modeling_bridgetower.py:BridgeTowerTextEmbeddings
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bridgetower/modeling_bridgetower.py:BridgeTowerPreTrainedModel
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bridgetower/modeling_bridgetower.py:BridgeTowerVisionModel
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bridgetower/modeling_bridgetower.py:BridgeTowerTextModel
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bridgetower/modeling_bridgetower.py:BridgeTowerModel
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bridgetower/modeling_bridgetower.py:BridgeTowerPredictionHeadTransform
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bridgetower/modeling_bridgetower.py:BridgeTowerMLMHead
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bridgetower/modeling_bridgetower.py:BridgeTowerITMHead
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bridgetower/modeling_bridgetower.py:BridgeTowerForMaskedLM
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bridgetower/modeling_bridgetower.py:BridgeTowerForImageAndTextRetrieval
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bridgetower/modeling_bridgetower.py:BridgeTowerContrastiveHead
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bridgetower/modeling_bridgetower.py:BridgeTowerForContrastiveLearning
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fuyu/modeling_fuyu.py:FuyuPreTrainedModel
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fuyu/modeling_fuyu.py:FuyuModel
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fuyu/modeling_fuyu.py:FuyuForCausalLM
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radio/modeling_radio.py:RadioModelOutput
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[ "ModelModelOutput", "ModelOutput", "None", "attentions", "class", "features", "hidden_states", "last_hidden_state", "summary" ]
radio/modeling_radio.py:RadioInputConditioner
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radio/modeling_radio.py:RadioPatchEmbeddings
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radio/modeling_radio.py:RadioMLP
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radio/modeling_radio.py:RadioLayerScale
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radio/modeling_radio.py:eager_attention_forward
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radio/modeling_radio.py:RadioSelfAttention
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radio/modeling_radio.py:RadioSelfOutput
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radio/modeling_radio.py:RadioAttention
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radio/modeling_radio.py:RadioSwiGLUFFN
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radio/modeling_radio.py:RadioDropPath
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radio/modeling_radio.py:RadioLayer
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radio/modeling_radio.py:RadioPreTrainedModel
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radio/modeling_radio.py:RadioEncoder
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radio/modeling_radio.py:RadioModel
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reformer/modeling_reformer.py:ReformerDynamicCache
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reformer/modeling_reformer.py:_stable_argsort
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reformer/modeling_reformer.py:_get_least_common_mult_chunk_len
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reformer/modeling_reformer.py:_get_min_chunk_len
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reformer/modeling_reformer.py:AxialPositionEmbeddings
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reformer/modeling_reformer.py:PositionEmbeddings
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reformer/modeling_reformer.py:ReformerEmbeddings
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reformer/modeling_reformer.py:EfficientAttentionMixin
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