Datasets:
itazap
/
transformers_code_embeddings_v3

Dataset card Data Studio Files
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1
identifier
stringlengths
24
102
embedding
listlengths
2.56k
2.56k
tokens
listlengths
4
448
fastspeech2_conformer/modeling_fastspeech2_conformer.py:FastSpeech2ConformerRelPositionalEncoding
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[ "Dropout", "False", "ModelRelPositionalEncoding", "Module", "None", "__init__", "arange", "cat", "center_idx", "class", "config", "cos", "def", "device", "dim", "div_term", "dropout", "dtype", "embed_dim", "exp", "expand", "extend_pos_enc", "feature_representation", "fl...
fastspeech2_conformer/modeling_fastspeech2_conformer.py:FastSpeech2ConformerEncoder
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[ "BaseModelOutput", "Embedding", "False", "ModelEncoder", "ModelEncoderLayer", "ModelRelPositionalEncoding", "Module", "ModuleList", "None", "_", "__init__", "all_hidden_states", "all_self_attentions", "attention_mask", "attentions", "class", "config", "conformer_layer", "conforme...
fastspeech2_conformer/modeling_fastspeech2_conformer.py:FastSpeech2ConformerLoss
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fastspeech2_conformer/modeling_fastspeech2_conformer.py:FastSpeech2ConformerPreTrainedModel
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fastspeech2_conformer/modeling_fastspeech2_conformer.py:FastSpeech2ConformerModel
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fastspeech2_conformer/modeling_fastspeech2_conformer.py:HifiGanResidualBlock
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fastspeech2_conformer/modeling_fastspeech2_conformer.py:FastSpeech2ConformerHifiGan
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[ "Conv1d", "ConvTranspose1d", "HifiGanResidualBlock", "ModelHifiGan", "ModelHifiGanConfig", "ModuleList", "PreTrainedModel", "__init__", "_init_weights", "append", "apply_weight_norm", "auto_docstring", "channels", "class", "config", "conv_post", "conv_pre", "custom_intro", "def",...
fastspeech2_conformer/modeling_fastspeech2_conformer.py:FastSpeech2ConformerWithHifiGan
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[ "ModelHifiGan", "ModelModel", "ModelWithHifiGan", "ModelWithHifiGanConfig", "ModelWithHifiGanOutput", "None", "PreTrainedModel", "__init__", "attention_mask", "auto_docstring", "class", "config", "def", "duration_labels", "else", "energy_labels", "forward", "has_missing_labels", ...
fast_vlm/modeling_fast_vlm.py:FastVlmMultiModalProjector
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fast_vlm/modeling_fast_vlm.py:FastVlmPreTrainedModel
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[ "ModelConfig", "ModelPreTrainedModel", "PreTrainedModel", "True", "_can_compile_fullgraph", "_skip_keys_device_placement", "_supports_attention_backend", "_supports_flash_attn", "_supports_flex_attn", "_supports_sdpa", "base_model_prefix", "class", "config", "image", "input_modalities", ...
fast_vlm/modeling_fast_vlm.py:FastVlmModelOutputWithPast
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[ "BaseModelOutputWithPast", "ModelModelOutputWithPast", "None", "class", "image_hidden_states", "r" ]
fast_vlm/modeling_fast_vlm.py:FastVlmModel
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[ "AutoModel", "False", "Image", "ModelModel", "ModelModelOutputWithPast", "ModelMultiModalProjector", "ModelPreTrainedModel", "None", "Obtains", "True", "ValueError", "You", "__init__", "_checkpoint_conversion_mapping", "all", "and", "apply", "attention_mask", "attentions", "aut...
fast_vlm/modeling_fast_vlm.py:FastVlmCausalLMOutputWithPast
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[ "ModelCausalLMOutputWithPast", "ModelOutput", "None", "attentions", "class", "hidden_states", "image_hidden_states", "logits", "loss", "past_key_values", "r" ]
fast_vlm/modeling_fast_vlm.py:FastVlmForConditionalGeneration
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[ "False", "GenerationMixin", "Linear", "ModelCausalLMOutputWithPast", "ModelForConditionalGeneration", "ModelModel", "ModelPreTrainedModel", "None", "True", "__init__", "_checkpoint_conversion_mapping", "_tied_weights_keys", "attention_mask", "attentions", "auto_docstring", "cache_posit...
grounding_dino/modeling_grounding_dino.py:MultiScaleDeformableAttention
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grounding_dino/modeling_grounding_dino.py:GroundingDinoDecoderOutput
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[ "ModelDecoderOutput", "ModelOutput", "None", "attentions", "class", "hidden_states", "intermediate_hidden_states", "intermediate_reference_points", "last_hidden_state", "r" ]
grounding_dino/modeling_grounding_dino.py:GroundingDinoEncoderOutput
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[ "ModelEncoderOutput", "ModelOutput", "None", "attentions", "class", "last_hidden_state_text", "last_hidden_state_vision", "r", "text_hidden_states", "vision_hidden_states" ]
grounding_dino/modeling_grounding_dino.py:GroundingDinoModelOutput
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[ "ModelModelOutput", "ModelOutput", "None", "class", "decoder_attentions", "decoder_hidden_states", "enc_outputs_class", "enc_outputs_coord_logits", "encoder_attentions", "encoder_last_hidden_state_text", "encoder_last_hidden_state_vision", "encoder_logits", "encoder_pred_boxes", "encoder_t...
grounding_dino/modeling_grounding_dino.py:GroundingDinoObjectDetectionOutput
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[ "ModelObjectDetectionOutput", "ModelOutput", "None", "auxiliary_outputs", "class", "decoder_attentions", "decoder_hidden_states", "enc_outputs_class", "enc_outputs_coord_logits", "encoder_attentions", "encoder_last_hidden_state_text", "encoder_last_hidden_state_vision", "encoder_logits", "...
grounding_dino/modeling_grounding_dino.py:GroundingDinoFrozenBatchNorm2d
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[ "ModelFrozenBatchNorm2d", "Module", "__init__", "_load_from_state_dict", "bias", "class", "def", "del", "epsilon", "error_msgs", "forward", "if", "in", "local_metadata", "missing_keys", "n", "nn", "num_batches_tracked", "num_batches_tracked_key", "ones", "prefix", "register...
grounding_dino/modeling_grounding_dino.py:replace_batch_norm
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[ "BatchNorm2d", "ModelFrozenBatchNorm2d", "Model_batch_norm", "_modules", "bias", "children", "copy_", "def", "device", "for", "if", "in", "isinstance", "len", "list", "meta", "model", "module", "name", "named_children", "new_module", "nn", "num_features", "r", "runnin...
grounding_dino/modeling_grounding_dino.py:GroundingDinoConvEncoder
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grounding_dino/modeling_grounding_dino.py:GroundingDinoConvModel
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[ "ModelConvModel", "Module", "__init__", "class", "conv_encoder", "def", "dtype", "feature_map", "for", "forward", "in", "mask", "nn", "out", "pixel_mask", "pixel_values", "pos", "position_embedding", "return", "self", "super", "to" ]
grounding_dino/modeling_grounding_dino.py:GroundingDinoSinePositionEmbedding
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grounding_dino/modeling_grounding_dino.py:GroundingDinoLearnedPositionEmbedding
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[ "Embedding", "ModelLearnedPositionEmbedding", "Module", "None", "__init__", "arange", "cat", "class", "column_embeddings", "config", "d_model", "def", "device", "dim", "embedding_dim", "forward", "height", "height_values", "nn", "permute", "pixel_mask", "pixel_values", "p...
grounding_dino/modeling_grounding_dino.py:build_position_encoding
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[ "ModelLearnedPositionEmbedding", "ModelSinePositionEmbedding", "Model_position_encoding", "config", "def", "elif", "else", "if", "learned", "position_embedding", "position_embedding_type", "return", "sine" ]
grounding_dino/modeling_grounding_dino.py:GroundingDinoMultiscaleDeformableAttention
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[ "CUDA", "F", "False", "Linear", "Make", "ModelMultiscaleDeformableAttention", "Module", "MultiScaleDeformableAttention", "None", "ValueError", "You", "_", "__init__", "a", "align", "and", "attention", "attention_mask", "attention_weights", "attn", "authors", "batch_size", ...
grounding_dino/modeling_grounding_dino.py:GroundingDinoTextEnhancerLayer
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[ "ACT2FN", "LayerNorm", "Linear", "ModelMultiheadAttention", "ModelTextEnhancerLayer", "Module", "None", "True", "__init__", "activation", "activation_function", "and", "attention_mask", "attention_masks", "attention_output", "attention_weights", "class", "config", "d_model", "d...
grounding_dino/modeling_grounding_dino.py:GroundingDinoBiMultiHeadAttention
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[ "Attention", "F", "Linear", "ModelBiMultiHeadAttention", "Module", "None", "True", "ValueError", "_", "__init__", "_reshape", "and", "attn_weights", "attn_weights_transposed", "batch_size", "be", "bmm", "but", "by", "clamp", "class", "config", "contiguous", "d_model", ...
grounding_dino/modeling_grounding_dino.py:drop_path
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[ "False", "Model_path", "Model_prob", "def", "device", "div", "dtype", "floor_", "if", "input", "keep_prob", "ndim", "not", "or", "output", "rand", "random_tensor", "return", "shape", "torch", "training" ]
grounding_dino/modeling_grounding_dino.py:GroundingDinoDropPath
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grounding_dino/modeling_grounding_dino.py:GroundingDinoFusionLayer
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[ "Identity", "LayerNorm", "ModelBiMultiHeadAttention", "ModelDropPath", "ModelFusionLayer", "Module", "None", "Parameter", "True", "__init__", "attention_mask_text", "attention_mask_vision", "attn", "class", "config", "d_model", "def", "delta_t", "delta_v", "drop_path", "else"...
grounding_dino/modeling_grounding_dino.py:GroundingDinoDeformableLayer
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[ "ACT2FN", "False", "LayerNorm", "Linear", "ModelDeformableLayer", "ModelMultiscaleDeformableAttention", "Module", "None", "__init__", "activation_dropout", "activation_fn", "activation_function", "any", "attention_mask", "attn_weights", "clamp", "clamp_value", "class", "config", ...
grounding_dino/modeling_grounding_dino.py:get_sine_pos_embed
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grounding_dino/modeling_grounding_dino.py:GroundingDinoEncoderLayer
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grounding_dino/modeling_grounding_dino.py:GroundingDinoMultiheadAttention
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grounding_dino/modeling_grounding_dino.py:GroundingDinoDecoderLayer
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grounding_dino/modeling_grounding_dino.py:GroundingDinoContrastiveEmbedding
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grounding_dino/modeling_grounding_dino.py:GroundingDinoPreTrainedModel
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[ "Conv2d", "Embedding", "False", "GroupNorm", "LayerNorm", "Linear", "ModelBiMultiHeadAttention", "ModelConfig", "ModelDecoder", "ModelFusionLayer", "ModelLearnedPositionEmbedding", "ModelMLPPredictionHead", "ModelMultiscaleDeformableAttention", "ModelPreTrainedModel", "None", "PreTrain...
grounding_dino/modeling_grounding_dino.py:GroundingDinoEncoder
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grounding_dino/modeling_grounding_dino.py:GroundingDinoDecoder
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grounding_dino/modeling_grounding_dino.py:generate_masks_with_special_tokens_and_transfer_map
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grounding_dino/modeling_grounding_dino.py:GroundingDinoModel
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grounding_dino/modeling_grounding_dino.py:GroundingDinoMLPPredictionHead
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grounding_dino/modeling_grounding_dino.py:build_label_maps
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grounding_dino/modeling_grounding_dino.py:build_text_mask
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[ "Model_text_mask", "None", "attention_mask", "bool", "def", "device", "dtype", "logits", "return", "seq_len", "shape", "text_mask", "torch", "zeros_like" ]
grounding_dino/modeling_grounding_dino.py:GroundingDinoForObjectDetection
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speecht5/modeling_speecht5.py:shift_tokens_right
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speecht5/modeling_speecht5.py:shift_spectrograms_right
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[ "Model_spectrograms_right", "Modeled_input_values", "None", "attention_mask", "clone", "def", "if", "input_values", "is", "masked_fill_", "new_zeros", "not", "reduction_factor", "return", "shape" ]
speecht5/modeling_speecht5.py:_compute_mask_indices
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speecht5/modeling_speecht5.py:SpeechT5NoLayerNormConvLayer
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speecht5/modeling_speecht5.py:SpeechT5LayerNormConvLayer
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speecht5/modeling_speecht5.py:SpeechT5GroupNormConvLayer
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speecht5/modeling_speecht5.py:SpeechT5SinusoidalPositionalEmbedding
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speecht5/modeling_speecht5.py:SpeechT5PositionalConvEmbedding
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speecht5/modeling_speecht5.py:SpeechT5ScaledPositionalEncoding
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speecht5/modeling_speecht5.py:SpeechT5RelativePositionalEncoding
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speecht5/modeling_speecht5.py:SpeechT5SamePadLayer
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speecht5/modeling_speecht5.py:SpeechT5FeatureEncoder
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speecht5/modeling_speecht5.py:SpeechT5FeatureProjection
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speecht5/modeling_speecht5.py:SpeechT5SpeechEncoderPrenet
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[ "ModelFeatureEncoder", "ModelFeatureProjection", "ModelModelEncoderPrenet", "ModelPositionalConvEmbedding", "ModelSinusoidalPositionalEmbedding", "Module", "None", "Parameter", "Tensor", "True", "__init__", "_compute_mask_indices", "_conv_out_length", "_freeze_parameters", "_get_feat_ext...
speecht5/modeling_speecht5.py:SpeechT5SpeechDecoderPrenet
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speecht5/modeling_speecht5.py:SpeechT5BatchNormConvLayer
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speecht5/modeling_speecht5.py:SpeechT5SpeechDecoderPostnet
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speecht5/modeling_speecht5.py:SpeechT5TextEncoderPrenet
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speecht5/modeling_speecht5.py:SpeechT5TextDecoderPrenet
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speecht5/modeling_speecht5.py:SpeechT5TextDecoderPostnet
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speecht5/modeling_speecht5.py:SpeechT5Attention
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speecht5/modeling_speecht5.py:SpeechT5FeedForward
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speecht5/modeling_speecht5.py:SpeechT5EncoderLayer
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speecht5/modeling_speecht5.py:SpeechT5DecoderLayer
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speecht5/modeling_speecht5.py:SpeechT5PreTrainedModel
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speecht5/modeling_speecht5.py:SpeechT5Encoder
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speecht5/modeling_speecht5.py:SpeechT5EncoderWithSpeechPrenet
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speecht5/modeling_speecht5.py:SpeechT5EncoderWithTextPrenet
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speecht5/modeling_speecht5.py:SpeechT5EncoderWithoutPrenet
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speecht5/modeling_speecht5.py:SpeechT5Decoder
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speecht5/modeling_speecht5.py:SpeechT5DecoderWithSpeechPrenet
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speecht5/modeling_speecht5.py:SpeechT5DecoderWithTextPrenet
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speecht5/modeling_speecht5.py:SpeechT5DecoderWithoutPrenet
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speecht5/modeling_speecht5.py:SpeechT5GuidedMultiheadAttentionLoss
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speecht5/modeling_speecht5.py:SpeechT5SpectrogramLoss
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speecht5/modeling_speecht5.py:SpeechT5Model
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speecht5/modeling_speecht5.py:SpeechT5ForSpeechToText
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speecht5/modeling_speecht5.py:_generate_speech
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speecht5/modeling_speecht5.py:SpeechT5ForTextToSpeech
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speecht5/modeling_speecht5.py:SpeechT5ForSpeechToSpeech
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speecht5/modeling_speecht5.py:HifiGanResidualBlock
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speecht5/modeling_speecht5.py:SpeechT5HifiGan
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gpt_oss/modeling_gpt_oss.py:GptOssRMSNorm
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gpt_oss/modeling_gpt_oss.py:GptOssExperts
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gpt_oss/modeling_gpt_oss.py:GptOssTopKRouter
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gpt_oss/modeling_gpt_oss.py:GptOssMLP
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gpt_oss/modeling_gpt_oss.py:GptOssRotaryEmbedding
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gpt_oss/modeling_gpt_oss.py:repeat_kv
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gpt_oss/modeling_gpt_oss.py:_apply_rotary_emb
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[ "_apply_rotary_emb", "cat", "chunk", "cos", "def", "dim", "first_", "first_half", "return", "second_", "second_half", "sin", "torch", "x" ]
gpt_oss/modeling_gpt_oss.py:apply_rotary_pos_emb
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[ "Model_rotary_pos_emb", "None", "_Model_rotary_emb", "cos", "def", "k", "k_embed", "position_ids", "q", "q_embed", "return", "sin", "unsqueeze", "unsqueeze_dim" ]
gpt_oss/modeling_gpt_oss.py:eager_attention_forward
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[ "F", "Model_attention_forward", "None", "True", "attention_mask", "attn_output", "attn_weights", "cat", "causal_mask", "combined_logits", "contiguous", "def", "dim", "dropout", "dtype", "expand", "functional", "if", "is", "keepdim", "key", "key_states", "kwargs", "matmu...
gpt_oss/modeling_gpt_oss.py:GptOssAttention
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[ "ALL_ATTENTION_FUNCTIONS", "Linear", "ModelAttention", "Module", "None", "Parameter", "Tensor", "True", "__init__", "_attn_implementation", "apply_rotary_pos_emb", "attention_dropout", "attention_interface", "attention_mask", "attn_output", "attn_weights", "cache_kwargs", "cache_po...
gpt_oss/modeling_gpt_oss.py:GptOssDecoderLayer
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[ "False", "GradientCheckpointingLayer", "ModelAttention", "ModelDecoderLayer", "ModelMLP", "ModelRMSNorm", "None", "Tensor", "_", "__init__", "attention_mask", "attention_type", "cache_position", "class", "config", "def", "eps", "forward", "hidden_size", "hidden_states", "inpu...