Datasets:
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transformers_code_embeddings_v3

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24
117
embedding
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phi4_multimodal/modeling_phi4_multimodal.py:Phi4MultimodalAudioDepthWiseSeparableConv1d
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[ "Conv1d", "ModelAudioDepthWiseSeparableConv1d", "Module", "__init__", "class", "config", "def", "depthwise_multiplier", "depthwise_separable_out_channel", "dw_conv", "forward", "groups", "hidden_size", "hidden_states", "kernel_size", "nn", "padding", "pw_conv", "return", "self"...
phi4_multimodal/modeling_phi4_multimodal.py:Phi4MultimodalAudioGluPointWiseConv
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[ "ACT2FN", "Conv1d", "ModelAudioGluPointWiseConv", "Module", "Parameter", "__init__", "b1", "b2", "class", "config", "conv_glu_type", "def", "ext_pw_conv_1d", "ext_pw_out_channel", "forward", "glu_act", "hidden_size", "hidden_states", "kernel_size", "nn", "out", "output_dim"...
phi4_multimodal/modeling_phi4_multimodal.py:Phi4MultimodalAudioConvModule
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[ "ACT2FN", "Conv1d", "Dropout", "LayerNorm", "ModelAudioConvModule", "ModelAudioDepthWiseSeparableConv1d", "ModelAudioGluPointWiseConv", "Module", "__init__", "act", "class", "config", "conv_activation", "def", "dropout", "dropout_rate", "dw_sep_conv_1d", "ext_pw_conv_1d", "ext_pw...
phi4_multimodal/modeling_phi4_multimodal.py:Phi4MultimodalAudioConformerEncoderLayer
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[ "LayerNorm", "ModelAudioAttention", "ModelAudioConformerEncoderLayer", "ModelAudioConvModule", "ModelAudioMLP", "Module", "__init__", "attention_mask", "class", "config", "conv", "def", "feed_forward_in", "feed_forward_out", "forward", "hidden_size", "hidden_states", "layer_norm", ...
phi4_multimodal/modeling_phi4_multimodal.py:Phi4MultimodalAudioNemoConvSubsampling
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[ "ACT2FN", "Conv2d", "Linear", "ModelAudioNemoConvSubsampling", "Module", "None", "Sequential", "_", "__init__", "act_fn", "arange", "arange_", "b", "ceil", "class", "config", "conv", "conv_channels", "def", "device", "expand", "extend", "feature_lens", "for", "forward...
phi4_multimodal/modeling_phi4_multimodal.py:Phi4MultimodalAudioRelativeAttentionBias
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[ "Embedding", "ModelAudioRelativeAttentionBias", "Module", "None", "__init__", "abs", "arange", "att_bias", "bias_idx", "bias_max_distance", "bias_symmetric", "bias_values", "class", "config", "context_position", "def", "device", "dtype", "else", "forward", "if", "long", "...
phi4_multimodal/modeling_phi4_multimodal.py:Phi4MultimodalAudioMeanVarianceNormLayer
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[ "ModelAudioMeanVarianceNormLayer", "Module", "__init__", "class", "config", "def", "forward", "global_invstd", "global_mean", "input_size", "nn", "ones", "register_buffer", "return", "self", "super", "torch", "x", "zeros" ]
phi4_multimodal/modeling_phi4_multimodal.py:Phi4MultimodalAudioPreTrainedModel
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[ "ModelAudioConfig", "ModelAudioConformerEncoderLayer", "ModelAudioGluPointWiseConv", "ModelAudioMeanVarianceNormLayer", "ModelAudioPreTrainedModel", "PreTrainedModel", "True", "_init_weights", "_no_split_modules", "_supports_flash_attn", "_supports_flex_attn", "_supports_sdpa", "audio", "b...
phi4_multimodal/modeling_phi4_multimodal.py:unfold_tensor
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[ "D", "F", "Model", "Model_tensor", "None", "_", "contiguous", "def", "kernel_size", "max_seq_len", "new_bsz", "permute", "return", "shape", "slen", "stride", "tensor", "transpose", "view" ]
phi4_multimodal/modeling_phi4_multimodal.py:adaptive_enc_mask
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[ "Model_enc_mask", "Tensor", "arange", "boundary_left", "boundary_right", "chunk_start_idx", "def", "end_pad", "expand", "functional", "idx", "idx_left", "idx_right", "left_window", "len", "long", "mask_left", "mask_right", "nn", "nonzero", "pad", "return", "right_window",...
phi4_multimodal/modeling_phi4_multimodal.py:Phi4MultimodalAudioModel
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[ "F", "False", "ModelAudioConformerEncoderLayer", "ModelAudioMeanVarianceNormLayer", "ModelAudioModel", "ModelAudioNemoConvSubsampling", "ModelAudioPreTrainedModel", "ModelAudioRelativeAttentionBias", "ModuleList", "None", "The", "True", "ValueError", "_", "__init__", "_streaming_mask",...
phi4_multimodal/modeling_phi4_multimodal.py:Phi4MultimodalAudioEmbedding
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[ "Dropout", "False", "Linear", "ModelAudioEmbedding", "ModelAudioModel", "Module", "None", "True", "__init__", "_from_config", "accumulate", "as_tuple", "audio_attention_mask", "audio_config", "audio_embed_sizes", "audio_embeds", "audio_encoder_hidden_states", "audio_input_features"...
phi4_multimodal/modeling_phi4_multimodal.py:Phi4MultimodalRMSNorm
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[ "ModelRMSNorm", "Module", "Parameter", "True", "__init__", "class", "def", "dtype", "eps", "extra_repr", "f", "float32", "forward", "hidden_size", "hidden_states", "input_dtype", "keepdim", "mean", "nn", "ones", "pow", "return", "rsqrt", "self", "shape", "super", ...
phi4_multimodal/modeling_phi4_multimodal.py:Phi4MultimodalMLP
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[ "ACT2FN", "Linear", "ModelMLP", "Module", "__init__", "activation_fn", "chunk", "class", "config", "def", "dim", "down_proj", "forward", "gate", "gate_up_proj", "hidden_act", "hidden_size", "hidden_states", "intermediate_size", "nn", "return", "self", "super", "up_state...
phi4_multimodal/modeling_phi4_multimodal.py:rotate_half
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[ "Model_half", "cat", "def", "dim", "return", "shape", "torch", "x", "x1", "x2" ]
phi4_multimodal/modeling_phi4_multimodal.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" ]
phi4_multimodal/modeling_phi4_multimodal.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",...
phi4_multimodal/modeling_phi4_multimodal.py:apply_rotary_pos_emb
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[ "Model_rotary_pos_emb", "cat", "cos", "def", "dim", "k", "k_embed", "k_pass", "k_rot", "q", "q_embed", "q_pass", "q_rot", "return", "rotary_dim", "rotate_half", "shape", "sin", "torch", "unsqueeze", "unsqueeze_dim" ]
phi4_multimodal/modeling_phi4_multimodal.py:Phi4MultimodalAttention
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[ "ALL_ATTENTION_FUNCTIONS", "Linear", "ModelAttention", "Module", "None", "Tensor", "True", "__init__", "_attn_implementation", "apply_rotary_pos_emb", "attention_dropout", "attention_interface", "attention_mask", "attn_output", "attn_weights", "class", "config", "contiguous", "co...
phi4_multimodal/modeling_phi4_multimodal.py:Phi4MultimodalDecoderLayer
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[ "Dropout", "False", "GradientCheckpointingLayer", "ModelAttention", "ModelDecoderLayer", "ModelMLP", "ModelRMSNorm", "None", "Tensor", "__init__", "attention_mask", "class", "config", "def", "eps", "forward", "hidden_size", "hidden_states", "input_layernorm", "kwargs", "layer...
phi4_multimodal/modeling_phi4_multimodal.py:Phi4MultimodalFeatureEmbedding
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[ "ModelAudioEmbedding", "ModelFeatureEmbedding", "ModelImageEmbedding", "Module", "None", "__init__", "and", "any", "audio_attention_mask", "audio_config", "audio_embed", "audio_embed_sizes", "audio_embeds", "audio_input_features", "audio_projection_mode", "audio_token_id", "class", ...
phi4_multimodal/modeling_phi4_multimodal.py:Phi4MultimodalPreTrainedModel
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[ "ModelAttention", "ModelConfig", "ModelDecoderLayer", "ModelImageEmbedding", "ModelPreTrainedModel", "PreTrainedModel", "True", "_can_compile_fullgraph", "_can_record_outputs", "_init_weights", "_no_split_modules", "_skip_keys_device_placement", "_supports_attention_backend", "_supports_fl...
phi4_multimodal/modeling_phi4_multimodal.py:Phi4MultimodalRotaryEmbedding
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[ "False", "ModelRotaryEmbedding", "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", "deprecate...
phi4_multimodal/modeling_phi4_multimodal.py:Phi4MultimodalModel
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[ "BaseModelOutputWithPast", "Dropout", "DynamicCache", "Embedding", "False", "ModelDecoderLayer", "ModelFeatureEmbedding", "ModelModel", "ModelPreTrainedModel", "ModelRMSNorm", "ModelRotaryEmbedding", "ModuleList", "None", "ValueError", "You", "__init__", "and", "arange", "attenti...
phi4_multimodal/modeling_phi4_multimodal.py:Phi4MultimodalForCausalLM
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[ "CausalLMOutputWithPast", "GenerationMixin", "Linear", "ModelForCausalLM", "ModelModel", "ModelPreTrainedModel", "None", "True", "__init__", "_fsdp_plan", "_pp_plan", "_tied_weights_keys", "_tp_plan", "and", "attention_mask", "attentions", "audio_attention_mask", "audio_embed_sizes...
phi3/modeling_phi3.py:Phi3MLP
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phi3/modeling_phi3.py:Phi3RotaryEmbedding
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phi3/modeling_phi3.py:rotate_half
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[ "Model_half", "cat", "def", "dim", "return", "shape", "torch", "x", "x1", "x2" ]
phi3/modeling_phi3.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" ]
phi3/modeling_phi3.py:eager_attention_forward
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phi3/modeling_phi3.py:apply_rotary_pos_emb
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phi3/modeling_phi3.py:Phi3Attention
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phi3/modeling_phi3.py:Phi3RMSNorm
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phi3/modeling_phi3.py:Phi3DecoderLayer
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phi3/modeling_phi3.py:Phi3PreTrainedModel
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phi3/modeling_phi3.py:Phi3Model
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phi3/modeling_phi3.py:Phi3ForCausalLM
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phi3/modeling_phi3.py:Phi3ForSequenceClassification
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phi3/modeling_phi3.py:Phi3ForTokenClassification
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exaone_moe/modeling_exaone_moe.py:ExaoneMoeRMSNorm
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exaone_moe/modeling_exaone_moe.py:rotate_half
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exaone_moe/modeling_exaone_moe.py:apply_rotary_pos_emb
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exaone_moe/modeling_exaone_moe.py:repeat_kv
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exaone_moe/modeling_exaone_moe.py:eager_attention_forward
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exaone_moe/modeling_exaone_moe.py:ExaoneMoeAttention
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exaone_moe/modeling_exaone_moe.py:ExaoneMoeMLP
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exaone_moe/modeling_exaone_moe.py:ExaoneMoeTopkRouter
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exaone_moe/modeling_exaone_moe.py:ExaoneMoeExperts
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exaone_moe/modeling_exaone_moe.py:ExaoneMoeSparseMoEBlock
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exaone_moe/modeling_exaone_moe.py:ExaoneMoeDecoderLayer
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exaone_moe/modeling_exaone_moe.py:ExaoneMoePreTrainedModel
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exaone_moe/modeling_exaone_moe.py:ExaoneMoeRotaryEmbedding
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exaone_moe/modeling_exaone_moe.py:ExaoneMoeModel
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exaone_moe/modeling_exaone_moe.py:ExaoneMoeForCausalLM
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pp_ocrv5_mobile_rec/modeling_pp_ocrv5_mobile_rec.py:PPOCRV5MobileRecAttention
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pp_ocrv5_mobile_rec/modeling_pp_ocrv5_mobile_rec.py:PPOCRV5MobileRecMLP
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pp_ocrv5_mobile_rec/modeling_pp_ocrv5_mobile_rec.py:PPOCRV5MobileRecBlock
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pp_ocrv5_mobile_rec/modeling_pp_ocrv5_mobile_rec.py:eager_attention_forward
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pp_ocrv5_mobile_rec/modeling_pp_ocrv5_mobile_rec.py:PPOCRV5MobileRecConvLayer
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pp_ocrv5_mobile_rec/modeling_pp_ocrv5_mobile_rec.py:PPOCRV5MobileRecPreTrainedModel
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pp_ocrv5_mobile_rec/modeling_pp_ocrv5_mobile_rec.py:make_divisible
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pp_ocrv5_mobile_rec/modeling_pp_ocrv5_mobile_rec.py:PPOCRV5MobileRecEncoderWithSVTR
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xlm_roberta_xl/modeling_xlm_roberta_xl.py:XLMRobertaXLEmbeddings
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xlm_roberta_xl/modeling_xlm_roberta_xl.py:XLMRobertaXLSelfAttention
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xlm_roberta_xl/modeling_xlm_roberta_xl.py:XLMRobertaXLOutput
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xlm_roberta_xl/modeling_xlm_roberta_xl.py:XLMRobertaXLIntermediate
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xlm_roberta_xl/modeling_xlm_roberta_xl.py:XLMRobertaXLLayer
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xlm_roberta_xl/modeling_xlm_roberta_xl.py:XLMRobertaXLEncoder
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xlm_roberta_xl/modeling_xlm_roberta_xl.py:XLMRobertaXLPreTrainedModel
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xlm_roberta_xl/modeling_xlm_roberta_xl.py:XLMRobertaXLPooler
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xlm_roberta_xl/modeling_xlm_roberta_xl.py:XLMRobertaXLModel
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xlm_roberta_xl/modeling_xlm_roberta_xl.py:XLMRobertaXLLMHead
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xlm_roberta_xl/modeling_xlm_roberta_xl.py:XLMRobertaXLClassificationHead
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xlm_roberta_xl/modeling_xlm_roberta_xl.py:XLMRobertaXLForCausalLM
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xlm_roberta_xl/modeling_xlm_roberta_xl.py:XLMRobertaXLForMaskedLM
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xlm_roberta_xl/modeling_xlm_roberta_xl.py:XLMRobertaXLForSequenceClassification
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xlm_roberta_xl/modeling_xlm_roberta_xl.py:XLMRobertaXLForMultipleChoice
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xlm_roberta_xl/modeling_xlm_roberta_xl.py:XLMRobertaXLForTokenClassification
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xlm_roberta_xl/modeling_xlm_roberta_xl.py:XLMRobertaXLForQuestionAnswering
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dac/modeling_dac.py:DacOutput
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dac/modeling_dac.py:DacDecoderOutput
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dac/modeling_dac.py:Snake1d
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dac/modeling_dac.py:DacVectorQuantize
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dac/modeling_dac.py:DacResidualUnit
[ -0.0000566478083783295, 0.013085643760859966, 0.008780410513281822, -0.042145971208810806, 0.00009692086314316839, 0.05347553268074989, 0.00611796323210001, -0.03036322444677353, 0.010706435889005661, 0.006429526023566723, 0.012745756655931473, -0.02968345209956169, 0.0017560820560902357, ...
[ "Conv1d", "ModelResidualUnit", "Module", "Snake1d", "__init__", "class", "conv1", "conv2", "def", "dilation", "dimension", "forward", "hidden_state", "if", "kernel_size", "nn", "output_tensor", "pad", "padding", "return", "self", "shape", "snake1", "snake2", "super" ]
dac/modeling_dac.py:DacEncoderBlock
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[ "Conv1d", "ModelEncoderBlock", "ModelResidualUnit", "Module", "Snake1d", "__init__", "ceil", "class", "config", "conv1", "def", "dilation", "dimension", "encoder_hidden_size", "forward", "hidden_state", "kernel_size", "math", "nn", "padding", "res_unit1", "res_unit2", "re...
dac/modeling_dac.py:DacDecoderBlock
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[ "ConvTranspose1d", "ModelDecoderBlock", "ModelResidualUnit", "Module", "Snake1d", "__init__", "ceil", "class", "config", "conv_t1", "decoder_hidden_size", "def", "dilation", "forward", "hidden_state", "input_dim", "kernel_size", "math", "nn", "output_dim", "padding", "res_u...
dac/modeling_dac.py:DacResidualVectorQuantizer
[ -0.00021368816669564694, 0.025876661762595177, 0.004057415295392275, -0.013165319338440895, -0.0005071769119240344, 0.028033049777150154, 0.02508220262825489, -0.05129934847354889, 0.000957606709562242, -0.0025252443738281727, 0.0399499349296093, 0.005163982976227999, -0.002553618047386408, ...
[ "False", "ModelResidualVectorQuantizer", "ModelVectorQuantize", "Module", "ModuleList", "None", "True", "__init__", "and", "append", "audio_codes", "axis", "break", "cat", "class", "codebook", "codebook_dim", "codebook_dims_tensor", "codebook_loss", "codebook_loss_i", "codes"...
dac/modeling_dac.py:DacDecoder
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[ "Conv1d", "ModelDecoder", "ModelDecoderBlock", "Module", "ModuleList", "Snake1d", "Tanh", "__init__", "block", "channels", "class", "config", "conv1", "conv2", "decoder_hidden_size", "def", "enumerate", "for", "forward", "hidden_size", "hidden_state", "in", "input_channel...
dac/modeling_dac.py:DacEncoder
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[ "Conv1d", "ModelEncoder", "ModelEncoderBlock", "Module", "ModuleList", "Snake1d", "__init__", "block", "class", "config", "conv1", "conv2", "d_model", "def", "downsampling_ratios", "encoder_hidden_size", "enumerate", "for", "forward", "hidden_size", "hidden_state", "in", ...
dac/modeling_dac.py:DacPreTrainedModel
[ -0.00006941501487744972, 0.05623495206236839, -0.009841116145253181, -0.013608857989311218, -0.0002969908236991614, 0.02440596930682659, 0.03778988867998123, -0.03171651437878609, 0.00742301344871521, -0.009503706358373165, 0.025980547070503235, 0.01664554513990879, -0.002446220489218831, ...
[ "Conv1d", "ConvTranspose1d", "Embedding", "Model", "ModelConfig", "ModelPreTrainedModel", "PreTrainedAudioTokenizerBase", "Snake1d", "_init_weights", "alpha", "apply_weight_norm", "base_model_prefix", "bias", "block", "class", "config", "constant_", "conv1", "conv2", "decoder",...
dac/modeling_dac.py:DacModel
[ 0.00003518319863360375, 0.033118534833192825, -0.018685119226574898, -0.008615294471383095, 0.00020017272618133575, 0.018125683069229126, 0.02271304838359356, -0.037594012916088104, 0.003524438478052616, -0.011748128570616245, 0.04363590478897095, 0.006964961998164654, -0.0027831876650452614...
[ "False", "ModelDecoder", "ModelDecoderOutput", "ModelEncoder", "ModelEncoderOutput", "ModelModel", "ModelOutput", "ModelPreTrainedModel", "ModelResidualVectorQuantizer", "None", "__init__", "and", "audio", "audio_codes", "audio_values", "auto_docstring", "bits_per_codebook", "class...