Datasets:
itazap
/
transformers_code_embeddings_v3

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24
117
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pp_ocrv5_mobile_det/modeling_pp_ocrv5_mobile_det.py:PPOCRV5MobileDetConvBatchnormLayer
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pp_ocrv5_mobile_det/modeling_pp_ocrv5_mobile_det.py:PPOCRV5MobileDetHead
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pp_ocrv5_mobile_det/modeling_pp_ocrv5_mobile_det.py:PPOCRV5MobileDetModel
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[ "BaseModelOutputWithNoAttention", "Conv2d", "Model", "ModelNeck", "ModelPreTrainedModel", "ModuleList", "__init__", "append", "backbone", "capture_outputs", "class", "config", "def", "enumerate", "feature_maps", "for", "forward", "hidden_states", "i", "idx", "in", "kwargs",...
pp_ocrv5_mobile_det/modeling_pp_ocrv5_mobile_det.py:PPOCRV5MobileDetForObjectDetection
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[ "BaseModelOutputWithNoAttention", "Model", "ModelHead", "ModelModel", "ModelPreTrainedModel", "__init__", "_keys_to_ignore_on_load_missing", "can_return_tuple", "class", "config", "def", "forward", "head", "hidden_states", "kwargs", "last_hidden_state", "logits", "model", "num_ba...
splinter/modeling_splinter.py:SplinterEmbeddings
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[ "Dropout", "Embedding", "False", "LayerNorm", "ModelEmbeddings", "Module", "None", "__init__", "arange", "class", "config", "def", "device", "dropout", "dtype", "else", "embeddings", "eps", "expand", "forward", "hidden_dropout_prob", "hidden_size", "if", "input_ids", ...
splinter/modeling_splinter.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", "kwargs", "matmul", "module", "nn", "not", "p", "query", "return", "scaling", "softmax", "...
splinter/modeling_splinter.py:SplinterSelfAttention
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[ "ALL_ATTENTION_FUNCTIONS", "Dropout", "Linear", "ModelSelfAttention", "Module", "None", "The", "ValueError", "__init__", "_attn_implementation", "a", "all_head_size", "and", "attention", "attention_dropout", "attention_head_size", "attention_interface", "attention_mask", "attenti...
splinter/modeling_splinter.py:SplinterSelfOutput
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[ "Dropout", "LayerNorm", "Linear", "ModelSelfOutput", "Module", "__init__", "class", "config", "def", "dense", "dropout", "eps", "forward", "hidden_dropout_prob", "hidden_size", "hidden_states", "input_tensor", "layer_norm_eps", "nn", "return", "self", "super" ]
splinter/modeling_splinter.py:SplinterAttention
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[ "ModelAttention", "ModelSelfAttention", "ModelSelfOutput", "Module", "None", "_", "__init__", "attention_mask", "class", "config", "def", "forward", "hidden_states", "kwargs", "nn", "output", "residual", "return", "self", "super" ]
splinter/modeling_splinter.py:SplinterIntermediate
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[ "ACT2FN", "Linear", "ModelIntermediate", "Module", "__init__", "class", "config", "def", "dense", "else", "forward", "hidden_act", "hidden_size", "hidden_states", "if", "intermediate_act_fn", "intermediate_size", "isinstance", "nn", "return", "self", "str", "super" ]
splinter/modeling_splinter.py:SplinterOutput
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[ "Dropout", "LayerNorm", "Linear", "ModelOutput", "Module", "__init__", "class", "config", "def", "dense", "dropout", "eps", "forward", "hidden_dropout_prob", "hidden_size", "hidden_states", "input_tensor", "intermediate_size", "layer_norm_eps", "nn", "return", "self", "su...
splinter/modeling_splinter.py:SplinterLayer
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[ "GradientCheckpointingLayer", "ModelAttention", "ModelIntermediate", "ModelLayer", "ModelOutput", "None", "__init__", "apply_chunking_to_forward", "attention", "attention_mask", "attention_output", "chunk_size_feed_forward", "class", "config", "def", "feed_forward_chunk", "forward", ...
splinter/modeling_splinter.py:SplinterEncoder
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[ "BaseModelOutput", "False", "ModelEncoder", "ModelLayer", "Module", "ModuleList", "None", "__init__", "attention_mask", "class", "config", "def", "for", "forward", "gradient_checkpointing", "hidden_states", "i", "in", "kwargs", "last_hidden_state", "layer", "layer_module", ...
splinter/modeling_splinter.py:SplinterPreTrainedModel
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[ "Model", "ModelConfig", "ModelEmbeddings", "ModelLayer", "ModelPreTrainedModel", "ModelSelfAttention", "PreTrainedModel", "True", "_can_record_outputs", "_init_weights", "arange", "attentions", "base_model_prefix", "class", "config", "copy_", "def", "expand", "hidden_states", "...
splinter/modeling_splinter.py:SplinterModel
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[ "BaseModelOutput", "ModelEmbeddings", "ModelEncoder", "ModelModel", "ModelPreTrainedModel", "None", "__init__", "and", "attention_mask", "auto_docstring", "batch_size", "capture_outputs", "class", "config", "create_bidirectional_mask", "def", "device", "dtype", "elif", "else", ...
splinter/modeling_splinter.py:SplinterFullyConnectedLayer
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[ "ACT2FN", "LayerNorm", "Linear", "ModelFullyConnectedLayer", "Module", "__init__", "act_fn", "class", "def", "dense", "forward", "gelu", "hidden_act", "hidden_states", "input_dim", "inputs", "nn", "output_dim", "return", "self", "super" ]
splinter/modeling_splinter.py:QuestionAwareSpanSelectionHead
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[ "Linear", "ModelAwareSpanSelectionHead", "ModelFullyConnectedLayer", "Module", "_", "__init__", "class", "config", "def", "dim", "end_classifier", "end_logits", "end_reps", "end_transform", "forward", "gather", "gathered_reps", "hidden_size", "hidden_states", "index", "inputs...
splinter/modeling_splinter.py:SplinterForQuestionAnswering
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[ "CrossEntropyLoss", "False", "Model", "ModelForQuestionAnswering", "ModelModel", "ModelPreTrainedModel", "Model_qass", "None", "QuestionAnsweringModelOutput", "QuestionAwareSpanSelectionHead", "True", "__init__", "and", "argmax", "attention_mask", "attentions", "auto_docstring", "c...
splinter/modeling_splinter.py:SplinterForPreTrainingOutput
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[ "ModelForPreTrainingOutput", "ModelOutput", "None", "attentions", "class", "end_logits", "hidden_states", "loss", "r", "start_logits" ]
splinter/modeling_splinter.py:SplinterForPreTraining
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[ "All", "CrossEntropyLoss", "Model", "ModelForPreTraining", "ModelForPreTrainingOutput", "ModelModel", "ModelPreTrainedModel", "Model_qass", "None", "QuestionAwareSpanSelectionHead", "__init__", "_prepare_question_positions", "and", "arange", "at", "attention_mask", "attention_mask_fo...
qwen2_5_omni/modeling_qwen2_5_omni.py:kaiser_sinc_filter1d
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[ "False", "Model_sinc_filter1d", "Model_window", "arange", "attenuation", "beta", "cutoff", "def", "delta_f", "dtype", "elif", "else", "float32", "half_size", "half_width", "if", "is_even", "kernel_size", "math", "normalized_filter", "periodic", "pi", "return", "sinc", ...
qwen2_5_omni/modeling_qwen2_5_omni.py:Qwen2_5OmniPreTrainedModel
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[ "False", "ModelOmniConfig", "ModelOmniDecoderLayer", "ModelOmniDownSample1d", "ModelOmniPreTrainedModel", "ModelOmniUpSample1d", "ModelOmniVisionBlock", "Model_VisionRotaryEmbedding", "PreTrainedModel", "SinusoidsPositionEmbedding", "True", "_can_compile_fullgraph", "_init_weights", "_no_s...
qwen2_5_omni/modeling_qwen2_5_omni.py:Qwen2_5OmniPreTrainedModelForConditionalGeneration
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[ "False", "ModelOmniPreTrainedModel", "ModelOmniPreTrainedModelForConditionalGeneration", "None", "Tensor", "True", "_", "_iter", "_llm_pos_ids", "and", "append", "arange", "argwhere", "attention_mask", "audio", "audio_chunk_index", "audio_chunk_indexes", "audio_idx", "audio_len",...
qwen2_5_omni/modeling_qwen2_5_omni.py:Qwen2_5OmniThinkerCausalLMOutputWithPast
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[ "CausalLMOutputWithPast", "ModelOmniThinkerCausalLMOutputWithPast", "None", "class", "r", "rope_deltas" ]
qwen2_5_omni/modeling_qwen2_5_omni.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" ]
qwen2_5_omni/modeling_qwen2_5_omni.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",...
qwen2_5_omni/modeling_qwen2_5_omni.py:Qwen2_5OmniAudioAttention
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[ "ALL_ATTENTION_FUNCTIONS", "False", "Linear", "ModelOmniAudioAttention", "Module", "None", "ValueError", "_", "__init__", "_attn_implementation", "and", "attention_dropout", "attention_interface", "attention_mask", "attn_output", "attn_outputs", "be", "by", "cat", "class", "c...
qwen2_5_omni/modeling_qwen2_5_omni.py:Qwen2_5OmniAudioEncoderLayer
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[ "ACT2FN", "GradientCheckpointingLayer", "LayerNorm", "Linear", "ModelOmniAudioAttention", "ModelOmniAudioEncoderLayer", "__init__", "activation_dropout", "activation_fn", "activation_function", "clamp", "clamp_value", "class", "config", "cu_seqlens", "d_model", "def", "dropout", ...
qwen2_5_omni/modeling_qwen2_5_omni.py:SinusoidsPositionEmbedding
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[ "False", "ModelPositionEmbedding", "Module", "ValueError", "__init__", "arange", "cat", "channels", "class", "compute_default_singular_positional_embedding", "cos", "def", "dim", "even", "exp", "float", "forward", "if", "input", "inv_timescales", "length", "log", "log_tim...
qwen2_5_omni/modeling_qwen2_5_omni.py:chunk_and_pad_features
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[ "F", "Model_and_pad_features", "Model_lengths", "Model_list", "Model_num", "None", "T", "True", "and", "batch_first", "ceil", "cumsum", "def", "device", "dim", "dtype", "feature_lens", "full", "if", "input_features", "is", "kwargs", "long", "n_window", "nn", "not", ...
qwen2_5_omni/modeling_qwen2_5_omni.py:get_audio_cu_seqlens
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qwen2_5_omni/modeling_qwen2_5_omni.py:get_valid_indices
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qwen2_5_omni/modeling_qwen2_5_omni.py:get_pool_indices
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qwen2_5_omni/modeling_qwen2_5_omni.py:Qwen2_5OmniAudioEncoder
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qwen2_5_omni/modeling_qwen2_5_omni.py:rotate_half
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qwen2_5_omni/modeling_qwen2_5_omni.py:apply_rotary_pos_emb_vision
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qwen2_5_omni/modeling_qwen2_5_omni.py:Qwen2_5OmniVisionAttention
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qwen2_5_omni/modeling_qwen2_5_omni.py:Qwen2_5OmniRMSNorm
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qwen2_5_omni/modeling_qwen2_5_omni.py:Qwen2_5OmniMLP
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qwen2_5_omni/modeling_qwen2_5_omni.py:Qwen2_5OmniVisionBlock
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qwen2_5_omni/modeling_qwen2_5_omni.py:Qwen2_5_VisionRotaryEmbedding
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qwen2_5_omni/modeling_qwen2_5_omni.py:Qwen2_5_VisionPatchEmbed
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qwen2_5_omni/modeling_qwen2_5_omni.py:Qwen2_5OmniPatchMerger
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qwen2_5_omni/modeling_qwen2_5_omni.py:Qwen2_5OmniVisionEncoder
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[ "BaseModelOutputWithPooling", "False", "FutureWarning", "ModelOmniPatchMerger", "ModelOmniPreTrainedModel", "ModelOmniVisionAttention", "ModelOmniVisionBlock", "ModelOmniVisionEncoder", "ModelOmniVisionEncoderConfig", "Model_VisionPatchEmbed", "Model_VisionRotaryEmbedding", "ModuleList", "Us...
qwen2_5_omni/modeling_qwen2_5_omni.py:Qwen2_5OmniRotaryEmbedding
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qwen2_5_omni/modeling_qwen2_5_omni.py:apply_multimodal_rotary_pos_emb
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qwen2_5_omni/modeling_qwen2_5_omni.py:Qwen2_5OmniAttention
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qwen2_5_omni/modeling_qwen2_5_omni.py:Qwen2MLP
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qwen2_5_omni/modeling_qwen2_5_omni.py:Qwen2_5OmniDecoderLayer
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qwen2_5_omni/modeling_qwen2_5_omni.py:Qwen2_5OmniThinkerTextModel
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qwen2_5_omni/modeling_qwen2_5_omni.py:Qwen2_5OmniThinkerForConditionalGeneration
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qwen2_5_omni/modeling_qwen2_5_omni.py:Qwen2_5OmniTalkerCausalLMOutputWithPast
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[ "CausalLMOutputWithPast", "ModelOmniTalkerCausalLMOutputWithPast", "None", "attentions", "class", "r", "rope_deltas", "thinker_reply_part" ]
qwen2_5_omni/modeling_qwen2_5_omni.py:Qwen2_5OmniTalkerModel
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qwen2_5_omni/modeling_qwen2_5_omni.py:Qwen2_5OmniTalkerForConditionalGeneration
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qwen2_5_omni/modeling_qwen2_5_omni.py:Qwen2_5OmniDiTRotaryEmbedding
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qwen2_5_omni/modeling_qwen2_5_omni.py:TimeDelayNetBlock
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qwen2_5_omni/modeling_qwen2_5_omni.py:Res2NetBlock
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qwen2_5_omni/modeling_qwen2_5_omni.py:SqueezeExcitationBlock
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qwen2_5_omni/modeling_qwen2_5_omni.py:AttentiveStatisticsPooling
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qwen2_5_omni/modeling_qwen2_5_omni.py:SqueezeExcitationRes2NetBlock
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qwen2_5_omni/modeling_qwen2_5_omni.py:ECAPA_TimeDelayNet
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qwen2_5_omni/modeling_qwen2_5_omni.py:DiTInputEmbedding
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qwen2_5_omni/modeling_qwen2_5_omni.py:DiTCodecEmbedding
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qwen2_5_omni/modeling_qwen2_5_omni.py:Qwen2_5_OmniAdaLayerNormZero
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qwen2_5_omni/modeling_qwen2_5_omni.py:Qwen2_5_OmniAdaLayerNormZero_Final
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qwen2_5_omni/modeling_qwen2_5_omni.py:DiTMLP
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qwen2_5_omni/modeling_qwen2_5_omni.py:apply_rotary_pos_emb
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qwen2_5_omni/modeling_qwen2_5_omni.py:deinterleave_head_dim
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qwen2_5_omni/modeling_qwen2_5_omni.py:DiTAttention
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qwen2_5_omni/modeling_qwen2_5_omni.py:SinusPositionEmbedding
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qwen2_5_omni/modeling_qwen2_5_omni.py:DiTTimestepEmbedding
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qwen2_5_omni/modeling_qwen2_5_omni.py:DiTDecoderLayer
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qwen2_5_omni/modeling_qwen2_5_omni.py:Qwen2_5OmniSnakeBeta
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qwen2_5_omni/modeling_qwen2_5_omni.py:Qwen2_5OmniUpSample1d
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qwen2_5_omni/modeling_qwen2_5_omni.py:Qwen2_5OmniDownSample1d
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qwen2_5_omni/modeling_qwen2_5_omni.py:Qwen2_5OmniAntiAliasedActivation1d
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qwen2_5_omni/modeling_qwen2_5_omni.py:Qwen2_5OmniAMPBlock
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qwen2_5_omni/modeling_qwen2_5_omni.py:Activation1d
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qwen2_5_omni/modeling_qwen2_5_omni.py:UpSample1d
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qwen2_5_omni/modeling_qwen2_5_omni.py:DownSample1d
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qwen2_5_omni/modeling_qwen2_5_omni.py:SnakeBeta
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qwen2_5_omni/modeling_qwen2_5_omni.py:AMPBlock
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qwen2_5_omni/modeling_qwen2_5_omni.py:Qwen2_5OmniToken2WavBigVGANModel
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qwen2_5_omni/modeling_qwen2_5_omni.py:RungeKutta4ODESolver
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qwen2_5_omni/modeling_qwen2_5_omni.py:Qwen2_5OmniToken2WavDiTModel
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qwen2_5_omni/modeling_qwen2_5_omni.py:Qwen2_5OmniToken2WavModel
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qwen2_5_omni/modeling_qwen2_5_omni.py:Qwen2_5OmniForConditionalGeneration
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nystromformer/modeling_nystromformer.py:NystromformerEmbeddings
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nystromformer/modeling_nystromformer.py:NystromformerSelfAttention
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nystromformer/modeling_nystromformer.py:NystromformerSelfOutput
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nystromformer/modeling_nystromformer.py:NystromformerAttention
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nystromformer/modeling_nystromformer.py:NystromformerIntermediate
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nystromformer/modeling_nystromformer.py:NystromformerOutput
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nystromformer/modeling_nystromformer.py:NystromformerLayer
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nystromformer/modeling_nystromformer.py:NystromformerEncoder
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nystromformer/modeling_nystromformer.py:NystromformerPredictionHeadTransform
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nystromformer/modeling_nystromformer.py:NystromformerLMPredictionHead
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nystromformer/modeling_nystromformer.py:NystromformerOnlyMLMHead
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nystromformer/modeling_nystromformer.py:NystromformerPreTrainedModel
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nystromformer/modeling_nystromformer.py:NystromformerModel
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