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
focalnet/modeling_focalnet.py:FocalNetModel
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[ "AdaptiveAvgPool1d", "False", "LayerNorm", "ModelEmbeddings", "ModelEncoder", "ModelModel", "ModelModelOutput", "ModelPreTrainedModel", "None", "True", "__init__", "add_pooling_layer", "auto_docstring", "bool_masked_pos", "class", "config", "def", "depths", "else", "embed_dim",...
focalnet/modeling_focalnet.py:FocalNetForMaskedImageModeling
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[ "Conv2d", "False", "Model", "ModelForMaskedImageModeling", "ModelMaskedImageModelingOutput", "ModelModel", "ModelPreTrainedModel", "None", "PixelShuffle", "Sequential", "True", "__init__", "add_pooling_layer", "auto_docstring", "batch_size", "bool_masked_pos", "class", "config", ...
focalnet/modeling_focalnet.py:FocalNetForImageClassification
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focalnet/modeling_focalnet.py:FocalNetBackbone
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albert/modeling_albert.py:AlbertEmbeddings
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albert/modeling_albert.py:eager_attention_forward
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albert/modeling_albert.py:AlbertAttention
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albert/modeling_albert.py:AlbertLayer
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albert/modeling_albert.py:AlbertLayerGroup
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albert/modeling_albert.py:AlbertTransformer
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albert/modeling_albert.py:AlbertPreTrainedModel
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albert/modeling_albert.py:AlbertForPreTrainingOutput
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[ "ModelForPreTrainingOutput", "ModelOutput", "None", "attentions", "class", "hidden_states", "loss", "prediction_logits", "r", "sop_logits" ]
albert/modeling_albert.py:AlbertModel
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albert/modeling_albert.py:AlbertForPreTraining
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[ "CrossEntropyLoss", "Model", "ModelForPreTraining", "ModelForPreTrainingOutput", "ModelMLMHead", "ModelModel", "ModelPreTrainedModel", "ModelSOPHead", "None", "True", "__init__", "_tied_weights_keys", "and", "attention_mask", "attentions", "auto_docstring", "bias", "can_return_tupl...
albert/modeling_albert.py:AlbertMLMHead
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albert/modeling_albert.py:AlbertSOPHead
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[ "Dropout", "Linear", "ModelSOPHead", "Module", "__init__", "class", "classifier", "classifier_dropout_prob", "config", "def", "dropout", "dropout_pooled_output", "forward", "hidden_size", "logits", "nn", "num_labels", "pooled_output", "return", "self", "super" ]
albert/modeling_albert.py:AlbertForMaskedLM
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[ "CrossEntropyLoss", "False", "MaskedLMOutput", "Model", "ModelForMaskedLM", "ModelMLMHead", "ModelModel", "ModelPreTrainedModel", "None", "True", "__init__", "_tied_weights_keys", "add_pooling_layer", "attention_mask", "attentions", "auto_docstring", "bias", "can_return_tuple", "...
albert/modeling_albert.py:AlbertForSequenceClassification
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albert/modeling_albert.py:AlbertForTokenClassification
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[ "CrossEntropyLoss", "Dropout", "False", "Linear", "Model", "ModelForTokenClassification", "ModelModel", "ModelPreTrainedModel", "None", "TokenClassifierOutput", "True", "__init__", "add_pooling_layer", "attention_mask", "attentions", "auto_docstring", "can_return_tuple", "class", ...
albert/modeling_albert.py:AlbertForQuestionAnswering
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[ "CrossEntropyLoss", "False", "Linear", "Model", "ModelForQuestionAnswering", "ModelModel", "ModelPreTrainedModel", "None", "QuestionAnsweringModelOutput", "True", "__init__", "add_pooling_layer", "and", "attention_mask", "attentions", "auto_docstring", "can_return_tuple", "clamp", ...
albert/modeling_albert.py:AlbertForMultipleChoice
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electra/modeling_electra.py:ElectraEmbeddings
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electra/modeling_electra.py:eager_attention_forward
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electra/modeling_electra.py:ElectraSelfAttention
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electra/modeling_electra.py:ElectraCrossAttention
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electra/modeling_electra.py:ElectraSelfOutput
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electra/modeling_electra.py:ElectraAttention
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electra/modeling_electra.py:ElectraIntermediate
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electra/modeling_electra.py:ElectraOutput
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electra/modeling_electra.py:ElectraLayer
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[ "False", "GradientCheckpointingLayer", "If", "ModelAttention", "ModelIntermediate", "ModelLayer", "ModelOutput", "None", "True", "ValueError", "_", "__init__", "add_cross_attention", "and", "apply_chunking_to_forward", "are", "attention", "attention_mask", "attention_output", "...
electra/modeling_electra.py:ElectraEncoder
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electra/modeling_electra.py:ElectraDiscriminatorPredictions
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electra/modeling_electra.py:ElectraGeneratorPredictions
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electra/modeling_electra.py:ElectraPreTrainedModel
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electra/modeling_electra.py:ElectraForPreTrainingOutput
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electra/modeling_electra.py:ElectraModel
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electra/modeling_electra.py:ElectraClassificationHead
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electra/modeling_electra.py:ElectraSequenceSummary
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electra/modeling_electra.py:ElectraForSequenceClassification
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electra/modeling_electra.py:ElectraForPreTraining
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electra/modeling_electra.py:ElectraForMaskedLM
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electra/modeling_electra.py:ElectraForTokenClassification
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electra/modeling_electra.py:ElectraForQuestionAnswering
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electra/modeling_electra.py:ElectraForMultipleChoice
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electra/modeling_electra.py:ElectraForCausalLM
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wavlm/modeling_wavlm.py:WavLMSamePadLayer
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wavlm/modeling_wavlm.py:WavLMPositionalConvEmbedding
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wavlm/modeling_wavlm.py:WavLMFeatureProjection
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wavlm/modeling_wavlm.py:WavLMAttention
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wavlm/modeling_wavlm.py:WavLMFeedForward
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wavlm/modeling_wavlm.py:WavLMEncoderLayer
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wavlm/modeling_wavlm.py:WavLMEncoderLayerStableLayerNorm
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wavlm/modeling_wavlm.py:WavLMEncoder
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wavlm/modeling_wavlm.py:WavLMEncoderStableLayerNorm
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wavlm/modeling_wavlm.py:WavLMGumbelVectorQuantizer
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wavlm/modeling_wavlm.py:WavLMPreTrainedModel
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wavlm/modeling_wavlm.py:WavLMNoLayerNormConvLayer
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wavlm/modeling_wavlm.py:WavLMLayerNormConvLayer
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wavlm/modeling_wavlm.py:WavLMGroupNormConvLayer
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wavlm/modeling_wavlm.py:WavLMFeatureEncoder
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wavlm/modeling_wavlm.py:WavLMAdapterLayer
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wavlm/modeling_wavlm.py:WavLMAdapter
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wavlm/modeling_wavlm.py:_compute_mask_indices
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llava_next_video/modeling_llava_next_video.py:LlavaNextVideoCausalLMOutputWithPast
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llava_next_video/modeling_llava_next_video.py:LlavaNextVideoPooler
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llava_next_video/modeling_llava_next_video.py:LlavaNextVideoPreTrainedModel
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llava_next_video/modeling_llava_next_video.py:get_anyres_image_grid_shape
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llava_next_video/modeling_llava_next_video.py:image_size_to_num_patches
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llava_next_video/modeling_llava_next_video.py:unpad_image
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llava_next_video/modeling_llava_next_video.py:LlavaNextVideoModel
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llava_next_video/modeling_llava_next_video.py:LlavaNextVideoForConditionalGeneration
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sam2_video/modeling_sam2_video.py:Sam2VideoPositionEmbeddingSine
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sam2_video/modeling_sam2_video.py:eager_attention_forward
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sam2_video/modeling_sam2_video.py:Sam2VideoTwoWayAttentionBlock
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sam2_video/modeling_sam2_video.py:Sam2VideoFeedForward
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sam2_video/modeling_sam2_video.py:Sam2VideoImageSegmentationOutput
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sam2_video/modeling_sam2_video.py:Sam2VideoPreTrainedModel
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sam2_video/modeling_sam2_video.py:Sam2VideoVisionRotaryEmbedding
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sam2_video/modeling_sam2_video.py:rotate_pairwise
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sam2_video/modeling_sam2_video.py:apply_rotary_pos_emb_2d
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sam2_video/modeling_sam2_video.py:Sam2VideoRoPEAttention
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sam2_video/modeling_sam2_video.py:Sam2VideoMemoryAttentionLayer
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sam2_video/modeling_sam2_video.py:Sam2VideoMemoryAttention
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sam2_video/modeling_sam2_video.py:Sam2VideoMemoryFuserCXBlock
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sam2_video/modeling_sam2_video.py:Sam2VideoMemoryFuser
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sam2_video/modeling_sam2_video.py:Sam2VideoMaskDownSamplerLayer
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