itazap/transformers_code_embeddings_v3 · Datasets at Hugging Face

identifier stringlengths 24 117	embedding listlengths 2.56k 2.56k	tokens listlengths 4 444
exaone4_5/modeling_exaone4_5.py:Exaone4_5_Model	[ -0.00001154964957095217, 0.04330955818295479, -0.014547569677233696, 0.003914517816156149, 0, 0.04042225703597069, 0.03109404258430004, -0.054414574056863785, 0.0051083071157336235, 0.020655328407883644, 0.03531394898891449, 0.014658619649708271, -0.0004060271312482655, -0.0058023706078529...	[ "AutoModel", "BaseModelOutputWithPast", "False", "Image", "ModelConfig", "ModelDecoderLayer", "ModelModel", "ModelPreTrainedModel", "ModelVisionBlock", "ModelVisionModel", "None", "ValueError", "Video", "You", "_", "__init__", "_from_config", "_no_split_modules", "accepts_loss_kw...
exaone4_5/modeling_exaone4_5.py:Exaone4_5_ForConditionalGeneration	[ -0.0002773218438960612, 0.03707987070083618, -0.009891734458506107, 0.01441366970539093, -0.0009397147223353386, 0.03504500165581703, 0.030749162659049034, -0.05607200041413307, -0.0023316231090575457, 0.010343927890062332, 0.03843645378947258, 0.002063133055344224, 0.0006182334036566317, ...	[ "CausalLMOutputWithPast", "False", "GenerationMixin", "Linear", "ModelForConditionalGeneration", "ModelModel", "ModelPreTrainedModel", "None", "Tensor", "__init__", "_expand_dict_for_generation", "_expand_dict_for_generation_visual", "_expand_inputs_for_generation", "_get_image_nums_and_vi...
eomt_dinov3/modeling_eomt_dinov3.py:rotate_half	[ 0, 0.014133960008621216, 0.03477402776479721, 0.002930553164333105, 0.00026290849200449884, 0.028492268174886703, 0.019854847341775894, -0.018733104690909386, 0.014470482245087624, 0.01862093061208725, -0.0018648974364623427, -0.013012217357754707, 0.0003610609855968505, 0.0099835116416215...	[ "Model_half", "cat", "def", "dim", "return", "shape", "torch", "x", "x1", "x2" ]
eomt_dinov3/modeling_eomt_dinov3.py:eager_attention_forward	[ 0.000042139141442021355, 0.02733616903424263, 0.025528818368911743, -0.010505221784114838, 0.0002700434997677803, 0.03682475537061691, 0.06144990026950836, -0.025528818368911743, 0.020219728350639343, 0.013103287667036057, 0.02326963096857071, 0.026545453816652298, 0.0024145066272467375, -...	[ "Model_attention_forward", "None", "attention_mask", "attn_output", "attn_weights", "contiguous", "def", "dim", "dropout", "functional", "if", "is", "key", "kwargs", "matmul", "module", "nn", "not", "p", "query", "return", "scaling", "size", "softmax", "torch", "tra...
eomt_dinov3/modeling_eomt_dinov3.py:apply_rotary_pos_emb	[ -0.0000760449911467731, 0.03101220726966858, 0.004272667225450277, -0.01867523416876793, -0.0005553052760660648, 0.014940187335014343, 0.05727072060108185, 0.006394852884113789, 0.016637936234474182, 0.025692595168948174, 0.004527329467236996, 0.015958836302161217, -0.0009337617084383965, ...	[ "Model_rotary_pos_emb", "cat", "cos", "def", "dim", "k", "k_patches", "k_prefix_tokens", "kwargs", "num_patches", "num_prefix_tokens", "num_tokens", "q", "q_patches", "q_prefix_tokens", "return", "rotate_half", "shape", "sin", "split", "torch" ]
eomt_dinov3/modeling_eomt_dinov3.py:EomtDinov3Attention	[ 0, 0.03918599337339401, 0.029333515092730522, 0.001210567308589816, -0.0001924312236951664, 0.021048476919531822, 0.03627503290772438, 0.014666757546365261, 0.004058549180626869, 0.007613278925418854, 0.011363938450813293, 0.023399636149406433, -0.0018613346619531512, -0.014162938110530376...	[ "ALL_ATTENTION_FUNCTIONS", "False", "Linear", "ModelAttention", "Module", "None", "Tensor", "_", "__init__", "_attn_implementation", "apply_rotary_pos_emb", "attention_dropout", "attention_interface", "attention_mask", "attn_output", "attn_weights", "batch_size", "class", "config...
eomt_dinov3/modeling_eomt_dinov3.py:EomtDinov3Embeddings	[ -0.0001580319949425757, 0.013108709827065468, 0.010792084969580173, 0.007910428568720818, -0.000865203095600009, 0.030963677912950516, 0.017176929861307144, -0.03028564155101776, 0.010170551016926765, -0.003587944433093071, 0.014238771051168442, 0.022375212982296944, -0.0010664953151717782, ...	[ "Conv2d", "ModelEmbeddings", "Module", "None", "Parameter", "__init__", "batch_size", "bool_masked_pos", "cat", "class", "cls_token", "config", "def", "dim", "dtype", "embeddings", "empty", "expand", "flatten", "forward", "hidden_size", "if", "is", "kernel_size", "mas...
eomt_dinov3/modeling_eomt_dinov3.py:EomtDinov3MLP	[ -0.0002001440298045054, 0.019328195601701736, 0.03453914076089859, 0.027105219662189484, -0.0007612621411681175, 0.05901389569044113, 0.03270925208926201, -0.005832768976688385, -0.001115088234655559, -0.00568980909883976, 0.03293798863887787, -0.04689088836312294, -0.0013795641716569662, ...	[ "ACT2FN", "Linear", "ModelMLP", "Module", "__init__", "act_fn", "class", "config", "def", "down_proj", "forward", "hidden_act", "hidden_size", "intermediate_size", "nn", "return", "self", "super", "up_proj", "x" ]
eomt_dinov3/modeling_eomt_dinov3.py:EomtDinov3GatedMLP	[ -0.00021966772328596562, 0.005881715565919876, 0.004676681011915207, 0.009984570555388927, -0.0008894301136024296, 0.05830071121454239, 0.02960941568017006, -0.014345647767186165, 0.0004626471200026572, -0.008205709978938103, 0.03075706772506237, -0.05462822690606117, -0.0006347948801703751,...	[ "ACT2FN", "Linear", "ModelGatedMLP", "Module", "__init__", "act_fn", "class", "config", "def", "down_proj", "forward", "gate_proj", "hidden_act", "hidden_size", "intermediate_size", "nn", "return", "self", "super", "up_proj", "x" ]
eomt_dinov3/modeling_eomt_dinov3.py:EomtDinov3DropPath	[ 0, 0.02542765811085701, 0.046840421855449677, -0.026431381702423096, -0.00019603972032200545, 0.027769679203629494, 0.026877479627728462, -0.0419333316385746, 0.005046498030424118, 0.003763962537050247, 0.013606027700006962, -0.03434964269399643, 0.0007249112823046744, -0.01829006895422935...	[ "ModelDropPath", "Module", "__init__", "class", "def", "device", "div", "drop_prob", "dtype", "extra_repr", "f", "floor", "forward", "hidden_states", "if", "keep_prob", "ndim", "nn", "not", "or", "p", "rand", "random_tensor", "return", "self", "shape", "super", ...
eomt_dinov3/modeling_eomt_dinov3.py:EomtDinov3Layer	[ -0.00006716874486301094, 0.01618371531367302, 0.01438552513718605, 0.0033154140692204237, 0, 0.04742727801203728, 0.015509393997490406, -0.006546537857502699, 0.004692153539508581, -0.0006321764085441828, 0.016858037561178207, -0.003090640064328909, 0.000502229027915746, 0.0057317325845360...	[ "GradientCheckpointingLayer", "Identity", "LayerNorm", "ModelAttention", "ModelDropPath", "ModelGatedMLP", "ModelLayer", "ModelLayerScale", "ModelMLP", "None", "Tensor", "_", "__init__", "attention", "attention_mask", "class", "config", "def", "drop_path", "drop_path_rate", "...
eomt_dinov3/modeling_eomt_dinov3.py:EomtDinov3LayerScale	[ -0.000023226379198604263, 0.023110684007406235, 0.023671623319387436, 0.02120349183678627, -0.00019808157230727375, 0.03253445774316788, 0.030963830649852753, -0.018959736451506615, 0.005581342615187168, 0.03365633636713028, 0.0025242252741008997, -0.027149444445967674, 0.0016687933821231127...	[ "ModelLayerScale", "Module", "Parameter", "__init__", "class", "config", "def", "forward", "hidden_size", "hidden_state", "lambda1", "layerscale_value", "nn", "ones", "return", "self", "super", "torch" ]
eomt_dinov3/modeling_eomt_dinov3.py:get_patches_center_coordinates	[ -0.000021508731151698157, 0.013583910651504993, -0.00410871347412467, -0.007770220283418894, 0, -0.003074547741562128, 0.03264610469341278, -0.021801337599754333, 0.013583910651504993, 0.024149173870682716, 0.001369571196846664, 0.012354091741144657, -0.002739142393693328, 0.01101247034966...	[ "Model_patches_center_coordinates", "arange", "coords", "coords_h", "coords_w", "def", "device", "dim", "dtype", "flatten", "ij", "indexing", "meshgrid", "num_patches_h", "num_patches_w", "return", "stack", "torch" ]
eomt_dinov3/modeling_eomt_dinov3.py:augment_patches_center_coordinates	[ -0.000124372512800619, 0.035000719130039215, -0.018290698528289795, -0.03748464211821556, -0.00048337687621824443, 0.0096534239128232, 0.03387166187167168, -0.019193941727280617, 0.013379307463765144, 0.0161454938352108, 0.011911534704267979, 0.011403460055589676, -0.0014254325069487095, 0...	[ "Model_patches_center_coordinates", "None", "coords", "def", "device", "dtype", "empty", "exp", "if", "is", "jitter", "jitter_hw", "jitter_range", "log", "not", "np", "rescale", "rescale_hw", "rescale_range", "return", "shift", "shift_hw", "torch", "uniform_" ]
eomt_dinov3/modeling_eomt_dinov3.py:EomtDinov3RotaryEmbedding	[ -0.0002771210274659097, 0.04698820784687996, 0.003080722177401185, -0.0039732675068080425, -0.0014035999774932861, 0.027755290269851685, 0.04146018624305725, 0.0008241651230491698, -0.004808229859918356, 0.029943466186523438, 0, 0.00100051483605057, -0.0014899753732606769, 0.00394447613507...	[ "False", "Model", "ModelRotaryEmbedding", "Module", "None", "Please", "RoPE", "Tensor", "ValueError", "_", "__init__", "and", "angles", "arange", "attention_factor", "attention_scaling", "augment_patches_center_coordinates", "base", "check", "class", "clone", "compute_defau...
eomt_dinov3/modeling_eomt_dinov3.py:sample_point	[ -0.00004477175752981566, 0.006489270832389593, -0.01921498402953148, -0.010000781156122684, -0.00009524971392238513, 0.02337261289358139, 0.05753258615732193, -0.029889974743127823, 0.01118064858019352, 0.005140851251780987, 0.0036519707646220922, 0.00022122514201328158, 0.00139758107252419,...	[ "False", "Model_point", "True", "add_dim", "def", "dim", "functional", "grid_Model", "if", "input_features", "kwargs", "nn", "point_coordinates", "point_features", "return", "squeeze", "torch", "unsqueeze" ]
eomt_dinov3/modeling_eomt_dinov3.py:pair_wise_dice_loss	[ 0.00008515366062056273, 0.030339282006025314, 0.015394376590847969, -0.003356985514983535, 0.0007268786430358887, 0.03595766797661781, 0.001713607576675713, 0.00418569752946496, 0.023821955546736717, -0.009663623757660389, 0.03348558023571968, -0.020001452416181564, 0.0021630784031003714, ...	[ "Model_wise_dice_loss", "None", "T", "def", "denominator", "flatten", "inputs", "labels", "loss", "matmul", "numerator", "return", "sigmoid", "sum", "torch" ]
eomt_dinov3/modeling_eomt_dinov3.py:pair_wise_sigmoid_cross_entropy_loss	[ -0.000021200899936957285, 0.02439546026289463, 0.038495589047670364, 0.0009651873842813075, 0.00009048631181940436, 0.041181325912475586, 0.012085824273526669, 0.032005053013563156, 0.017121585085988045, -0.009232226759195328, 0.03558603674173355, -0.022157344967126846, 0.0020562687423080206...	[ "BCEWithLogitsLoss", "Model_wise_sigmoid_cross_entropy_loss", "T", "criterion", "cross_entropy_loss_neg", "cross_entropy_loss_pos", "def", "height_and_width", "inputs", "labels", "loss", "loss_neg", "loss_pos", "matmul", "nn", "none", "ones_like", "r", "reduction", "return", ...
eomt_dinov3/modeling_eomt_dinov3.py:EomtDinov3HungarianMatcher	[ -0.00016744773893151432, 0.0107727637514472, 0.012960981577634811, -0.01537363138049841, -0.00041029081330634654, 0.030073964968323708, 0.029625099152326584, -0.03433818370103836, 0.011502169072628021, 0.006873247679322958, 0.012175466865301132, 0.00785514060407877, -0.0040678405202925205, ...	[ "All", "False", "ModelHungarianMatcher", "Module", "None", "ValueError", "__init__", "align_corners", "and", "append", "as_tensor", "assigned_indices", "batch_size", "be", "can", "class", "class_labels", "class_queries_logits", "cost_class", "cost_dice", "cost_mask", "cost_...
eomt_dinov3/modeling_eomt_dinov3.py:dice_loss	[ 0.0000644981992081739, 0.03257070854306221, 0.04207049682736397, -0.012722932733595371, 0.00027566353674046695, 0.06695090234279633, -0.0030676405876874924, 0.0076903062872588634, 0.02284473367035389, -0.004862987902015448, 0.03211833909153938, -0.013966953381896019, 0.0039299726486206055, ...	[ "Model_loss", "def", "denominator", "flatten", "inputs", "labels", "loss", "num_masks", "numerator", "probs", "r", "return", "sigmoid", "sum" ]
eomt_dinov3/modeling_eomt_dinov3.py:sigmoid_cross_entropy_loss	[ 0.00011913910566363484, 0.03319075331091881, 0.048664819449186325, -0.002915404038503766, 0.00025404663756489754, 0.054719891399145126, 0.0018221274949610233, 0.024108149111270905, 0.01738029345870018, -0.004513269755989313, 0.030723873525857925, -0.013736038468778133, 0.0022566348779946566,...	[ "BCEWithLogitsLoss", "Model_cross_entropy_loss", "criterion", "cross_entropy_loss", "def", "inputs", "labels", "loss", "mean", "nn", "none", "num_masks", "r", "reduction", "return", "sum" ]
eomt_dinov3/modeling_eomt_dinov3.py:EomtDinov3Loss	[ -0.0001019366318359971, 0.036578696221113205, 0.0051578194834291935, -0.008587072603404522, -0.0003275912313256413, 0.0441620871424675, 0.0013243049615994096, 0.015055256895720959, 0.00591058237478137, -0.00027183102793060243, 0.004042615182697773, 0.017620226368308067, -0.003303792327642441...	[ "CrossEntropyLoss", "False", "ModelHungarianMatcher", "ModelLoss", "Module", "None", "PartialState", "Tensor", "_", "__init__", "_get_predictions_permutation_indices", "_get_targets_permutation_indices", "_max_by_axis", "_pad_images_to_max_in_batch", "_shared_state", "abs", "align_co...
eomt_dinov3/modeling_eomt_dinov3.py:EomtDinov3ForUniversalSegmentationOutput	[ -0.00030226659146137536, 0.03385385870933533, -0.010766448453068733, 0.013357304967939854, -0.0012882314622402191, 0.048592954874038696, 0.0455990731716156, -0.022454090416431427, 0.011457343585789204, -0.00616048090159893, 0.019114764407277107, 0.03408415615558624, -0.00593018252402544, -...	[ "ModelForUniversalSegmentationOutput", "ModelOutput", "None", "attentions", "class", "class_queries_logits", "hidden_states", "last_hidden_state", "loss", "masks_queries_logits", "patch_offsets", "r" ]
eomt_dinov3/modeling_eomt_dinov3.py:EomtDinov3PreTrainedModel	[ -0.0002606568159535527, 0.04936054348945618, -0.011426051147282124, 0.025137312710285187, -0.0011640290031209588, 0.0335925929248333, 0.02010985091328621, -0.01782464049756527, -0.003656336572021246, -0.0017638966673985124, 0.015996472910046577, -0.008740929886698723, -0.0038848575204610825,...	[ "False", "Model", "ModelAttention", "ModelConfig", "ModelEmbeddings", "ModelForUniversalSegmentation", "ModelLayer", "ModelLayerScale", "ModelLoss", "ModelPreTrainedModel", "PreTrainedModel", "True", "_can_record_outputs", "_init_weights", "_no_split_modules", "_supports_sdpa", "atte...
eomt_dinov3/modeling_eomt_dinov3.py:EomtDinov3LayerNorm2d	[ 0.000021402438505901955, 0.029671024531126022, 0.032593172043561935, 0.03529053553938866, 0.000273951212875545, 0.025287805125117302, 0.006040975451469421, -0.035964880138635635, 0.020117854699492455, 0.046529561281204224, 0.015060292556881905, 0.00660292711108923, 0.0015313171315938234, 0...	[ "F", "LayerNorm", "ModelLayerNorm2d", "True", "__init__", "affine", "bias", "class", "def", "elementwise_affine", "eps", "forward", "hidden_state", "layer_norm", "nn", "normalized_shape", "num_channels", "permute", "return", "self", "super", "weight" ]
eomt_dinov3/modeling_eomt_dinov3.py:EomtDinov3ScaleLayer	[ -0.00011256355355726555, 0.0221750196069479, 0.023863473907113075, -0.0044744014739990234, -0.0003851784276776016, 0.033769067376852036, 0.02375091053545475, -0.05448076128959656, 0.014633262529969215, 0.03511982783675194, 0.016771970316767693, 0.006894517689943314, 0.0023638347629457712, ...	[ "ACT2FN", "Conv2d", "ConvTranspose2d", "ModelLayerNorm2d", "ModelScaleLayer", "Module", "__init__", "activation", "class", "config", "conv1", "conv2", "def", "forward", "groups", "hidden_act", "hidden_size", "hidden_states", "kernel_size", "layernorm2d", "nn", "padding", ...
eomt_dinov3/modeling_eomt_dinov3.py:EomtDinov3ScaleBlock	[ -0.00011292663839412853, -0.019423382356762886, 0.0023996911477297544, 0.022924106568098068, -0.00019321042054798454, 0.03816920518875122, 0.02360166795551777, -0.04901016131043434, 0.007029683329164982, 0.0033736831974238157, 0.015019242651760578, -0.03636237606406212, 0.0006705019040964544...	[ "ModelScaleBlock", "ModelScaleLayer", "Module", "ModuleList", "_", "__init__", "block", "class", "config", "def", "for", "forward", "hidden_states", "in", "nn", "num_blocks", "num_upscale_blocks", "range", "return", "self", "super" ]
eomt_dinov3/modeling_eomt_dinov3.py:EomtDinov3MaskHead	[ -0.00013907828542869538, 0.015307470224797726, 0.03991280868649483, -0.014627138152718544, -0.0006909621879458427, 0.04580901935696602, 0.028460554778575897, -0.0371914841234684, 0.009071093052625656, -0.005272572860121727, 0.02063673734664917, 0.005045795813202858, 0.0013039696495980024, ...	[ "ACT2FN", "Linear", "ModelMaskHead", "Module", "__init__", "activation", "class", "config", "def", "fc1", "fc2", "fc3", "forward", "hidden_act", "hidden_size", "hidden_states", "nn", "return", "self", "super" ]
eomt_dinov3/modeling_eomt_dinov3.py:EomtDinov3ForUniversalSegmentation	[ -0.0002892134652938694, 0.04364624246954918, -0.016453033313155174, 0.014624918811023235, -0.0011854182230308652, 0.039075955748558044, 0.02456529252231121, -0.024793807417154312, -0.004570287186652422, -0.004655980039387941, 0.03199201077222824, 0.018052633851766586, -0.004713108297437429, ...	[ "Dropout", "Embedding", "F", "LayerNorm", "Linear", "ModelEmbeddings", "ModelForUniversalSegmentation", "ModelForUniversalSegmentationOutput", "ModelLayer", "ModelLoss", "ModelMaskHead", "ModelPreTrainedModel", "ModelRotaryEmbedding", "ModelScaleBlock", "ModuleList", "None", "Tensor"...
granite_speech_plus/modeling_granite_speech_plus.py:GraniteSpeechPlusEncoderProjector	[ -0.0003448483475949615, 0.03494463115930557, 0.014196256175637245, 0.03264564275741577, -0.0011638631112873554, 0.03356523811817169, 0.05793451890349388, -0.0271280687302351, -0.003822069149464369, 0.03264564275741577, 0.005718735046684742, 0.01448362972587347, -0.003994493279606104, -0.00...	[ "AutoModel", "Linear", "ModelEncoderProjector", "Module", "None", "Parameter", "True", "__init__", "batch_size", "ceil", "class", "config", "constant", "data", "def", "dim", "downsample_rate", "encoder_attention_mask", "encoder_hidden_states", "forward", "from_config", "fun...
granite_speech_plus/modeling_granite_speech_plus.py:GraniteSpeechPlusPreTrainedModel	[ -0.0002872224722523242, 0.04526625946164131, 0.011891010217368603, 0.003934947773814201, -0.0013212233316153288, 0.02872224524617195, 0.028837135061621666, -0.03147958219051361, -0.0018525848863646388, -0.0016946125542744994, 0.022403351962566376, 0.01459090132266283, -0.004451948218047619, ...	[ "False", "ModelCTCEncoder", "ModelConfig", "ModelEncoderProjector", "ModelPreTrainedModel", "PreTrainedModel", "True", "_init_weights", "_supports_attention_backend", "_supports_flash_attn", "_supports_sdpa", "arange", "attention_dists", "audio", "base_model_prefix", "clamp", "class"...
granite_speech_plus/modeling_granite_speech_plus.py:GraniteSpeechPlusModelOutputWithPast	[ -0.00009948753722710535, 0.02884962595999241, 0.006029121112078428, 0.008226650767028332, -0.0007642051787115633, 0.024905340746045113, 0.05386766046285629, -0.05454382300376892, 0.014424812979996204, -0.02051028050482273, 0.02907501347362995, 0.024229178205132484, -0.005634692497551441, -...	[ "BaseModelOutputWithPast", "ModelModelOutputWithPast", "None", "audio_hidden_states", "class", "r" ]
granite_speech_plus/modeling_granite_speech_plus.py:GraniteSpeechPlusModel	[ -0.0001753843971528113, 0.04083724319934845, -0.010660551488399506, -0.00795311015099287, -0.0005993034574203193, 0.03406864032149315, 0.022787634283304214, -0.05911247432231903, 0.0009377336828038096, -0.019516142085194588, 0.04895956814289093, 0.023464493453502655, -0.0028907579835504293, ...	[ "Audio", "AutoModel", "ModelCTCEncoder", "ModelEncoderProjector", "ModelModel", "ModelModelOutputWithPast", "ModelPreTrainedModel", "None", "True", "ValueError", "You", "__init__", "all", "and", "at", "attention_mask", "attentions", "audio", "audio_embeds", "audio_features", ...
granite_speech_plus/modeling_granite_speech_plus.py:GraniteSpeechPlusConformerFeedForward	[ -0.00028173060854896903, 0.048235151916742325, 0.031238002702593803, 0.03353491425514221, -0.0009618318872526288, 0.014011163264513016, 0.03422398865222931, -0.02434726618230343, 0.0009115869179368019, -0.006144239567220211, 0.034453678876161575, -0.0031295425724238157, 0.0023974019568413496...	[ "Dropout", "LayerNorm", "Linear", "ModelConformerFeedForward", "Module", "SiLU", "__init__", "class", "config", "def", "down_proj", "dropout", "feedforward_mult", "forward", "hidden_dim", "hidden_states", "nn", "pre_norm", "return", "self", "silu", "super", "up_proj" ]
granite_speech_plus/modeling_granite_speech_plus.py:GraniteSpeechPlusConformerAttention	[ -0.0003373822255525738, 0.04226609691977501, 0.03973931819200516, -0.007034778129309416, -0.0015002741711214185, 0.011370498687028885, 0.025038067251443863, -0.01148535218089819, -0.004393147304654121, 0.013150728307664394, 0.028024259954690933, 0.037442248314619064, 0.0014428473077714443, ...	[ "Dropout", "Embedding", "F", "LayerNorm", "Linear", "MATH", "ModelConformerAttention", "Module", "SDPBackend", "_", "__init__", "attention", "attention_dists", "attn_mask", "b", "bool", "bsz", "c", "ceil", "chunk", "class", "config", "context_size", "d", "def", "dev...
granite_speech_plus/modeling_granite_speech_plus.py:GraniteSpeechPlusConformerDepthWiseConv1d	[ -0.0000544857102795504, -0.009747033938765526, 0.006806118879467249, -0.019045928493142128, -0.00009321652032667771, 0.017365405336022377, 0.034058600664138794, -0.0526563934981823, 0.014900638721883297, -0.001778553705662489, 0.029801277443766594, -0.017029300332069397, 0.001638510031625628...	[ "Conv1d", "F", "ModelConformerDepthWiseConv1d", "Module", "__init__", "chan_in", "chan_out", "class", "conv", "def", "forward", "groups", "hidden_states", "kernel_size", "nn", "pad", "pad_offset", "padding", "return", "self", "super" ]
granite_speech_plus/modeling_granite_speech_plus.py:GraniteSpeechPlusConformerConvModule	[ -0.00023800937924534082, 0.013457372784614563, 0.030923323705792427, -0.0023478821385651827, -0.0006836059037595987, 0.030465200543403625, 0.020959142595529556, -0.03871142119169235, 0.010708632878959179, -0.0017823860980570316, 0.04947732016444206, -0.009677855297923088, 0.00134573725517839...	[ "BatchNorm1d", "Conv1d", "Dropout", "GLU", "LayerNorm", "ModelConformerConvModule", "ModelConformerDepthWiseConv1d", "Module", "SiLU", "__init__", "batch_norm", "class", "config", "conv_expansion_factor", "conv_kernel_size", "def", "depth_conv", "dim", "down_conv", "dropout", ...
granite_speech_plus/modeling_granite_speech_plus.py:GraniteSpeechPlusConformerBlock	[ -0.00021342519903555512, 0.014973698183894157, 0.037034183740615845, -0.007143939845263958, -0.0007715455139987171, 0.03451951593160629, 0.03840582072734833, -0.03840582072734833, 0.009944364428520203, -0.021488972008228302, 0.044806789606809616, 0.019545819610357285, 0.004572121426463127, ...	[ "LayerNorm", "ModelConformerAttention", "ModelConformerBlock", "ModelConformerConvModule", "ModelConformerFeedForward", "Module", "__init__", "attention_dists", "attn", "class", "config", "conv", "def", "ff1", "ff2", "forward", "hidden_dim", "hidden_states", "nn", "post_norm", ...
granite_speech_plus/modeling_granite_speech_plus.py:GraniteSpeechPlusCTCEncoder	[ -0.00017802028742153198, 0.02109452337026596, 0.037902459502220154, 0.007388723082840443, -0.0006098516751080751, 0.030457332730293274, 0.01985366828739643, -0.045347582548856735, 0.00023971048358362168, -0.010772871784865856, 0.03474391996860504, 0.022222572937607765, -0.002100992016494274,...	[ "BaseModelOutputWithPooling", "False", "Linear", "ModelCTCEncoder", "ModelConformerAttention", "ModelConformerBlock", "ModelEncoderConfig", "ModelPreTrainedModel", "ModuleList", "Softmax", "_", "__init__", "_can_record_outputs", "arange", "attention_dists", "attentions", "audio", "...
granite_speech_plus/modeling_granite_speech_plus.py:GraniteSpeechPlusCausalLMOutputWithPast	[ -0.00017840639338828623, 0.030448023229837418, 0.022836018353700638, 0.005169347394257784, -0.001164523302577436, 0.02806217223405838, 0.04794427752494812, -0.04317257180809975, 0.0168145801872015, -0.016019295901060104, 0.021699897944927216, 0.022608794271945953, -0.003550376044586301, -0...	[ "ModelCausalLMOutputWithPast", "ModelOutput", "None", "attentions", "audio_hidden_states", "class", "hidden_states", "logits", "loss", "past_key_values", "r" ]
granite_speech_plus/modeling_granite_speech_plus.py:GraniteSpeechPlusForConditionalGeneration	[ -0.0003023868193849921, 0.04530821740627289, -0.00012451222573872656, 0.006631165277212858, -0.0012451221700757742, 0.025841621682047844, 0.027776896953582764, -0.04120998829603195, -0.007741102483123541, -0.012180852703750134, 0.03301352635025978, 0.007854942232370377, -0.001415881793946027...	[ "Config", "CrossEntropyLoss", "False", "GenerationMixin", "Linear", "ModelCausalLMOutputWithPast", "ModelForConditionalGeneration", "ModelModel", "ModelPreTrainedModel", "None", "Please", "__init__", "_get_adapter_name", "_hf_peft_config_loaded", "_tied_weights_keys", "a", "adapter",...

exaone4_5/modeling_exaone4_5.py:Exaone4_5_Model

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[ "AutoModel", "BaseModelOutputWithPast", "False", "Image", "ModelConfig", "ModelDecoderLayer", "ModelModel", "ModelPreTrainedModel", "ModelVisionBlock", "ModelVisionModel", "None", "ValueError", "Video", "You", "_", "__init__", "_from_config", "_no_split_modules", "accepts_loss_kw...

exaone4_5/modeling_exaone4_5.py:Exaone4_5_ForConditionalGeneration

[ -0.0002773218438960612, 0.03707987070083618, -0.009891734458506107, 0.01441366970539093, -0.0009397147223353386, 0.03504500165581703, 0.030749162659049034, -0.05607200041413307, -0.0023316231090575457, 0.010343927890062332, 0.03843645378947258, 0.002063133055344224, 0.0006182334036566317, ...

[ "CausalLMOutputWithPast", "False", "GenerationMixin", "Linear", "ModelForConditionalGeneration", "ModelModel", "ModelPreTrainedModel", "None", "Tensor", "__init__", "_expand_dict_for_generation", "_expand_dict_for_generation_visual", "_expand_inputs_for_generation", "_get_image_nums_and_vi...

eomt_dinov3/modeling_eomt_dinov3.py:rotate_half

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[ "Model_half", "cat", "def", "dim", "return", "shape", "torch", "x", "x1", "x2" ]

eomt_dinov3/modeling_eomt_dinov3.py:eager_attention_forward

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eomt_dinov3/modeling_eomt_dinov3.py:apply_rotary_pos_emb

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eomt_dinov3/modeling_eomt_dinov3.py:EomtDinov3Attention

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eomt_dinov3/modeling_eomt_dinov3.py:EomtDinov3Embeddings

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eomt_dinov3/modeling_eomt_dinov3.py:EomtDinov3MLP

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eomt_dinov3/modeling_eomt_dinov3.py:EomtDinov3GatedMLP

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eomt_dinov3/modeling_eomt_dinov3.py:EomtDinov3DropPath

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eomt_dinov3/modeling_eomt_dinov3.py:EomtDinov3Layer

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eomt_dinov3/modeling_eomt_dinov3.py:EomtDinov3LayerScale

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eomt_dinov3/modeling_eomt_dinov3.py:get_patches_center_coordinates

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eomt_dinov3/modeling_eomt_dinov3.py:augment_patches_center_coordinates

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eomt_dinov3/modeling_eomt_dinov3.py:EomtDinov3RotaryEmbedding

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eomt_dinov3/modeling_eomt_dinov3.py:sample_point

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eomt_dinov3/modeling_eomt_dinov3.py:pair_wise_dice_loss

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eomt_dinov3/modeling_eomt_dinov3.py:pair_wise_sigmoid_cross_entropy_loss

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eomt_dinov3/modeling_eomt_dinov3.py:EomtDinov3HungarianMatcher

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eomt_dinov3/modeling_eomt_dinov3.py:dice_loss

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eomt_dinov3/modeling_eomt_dinov3.py:sigmoid_cross_entropy_loss

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eomt_dinov3/modeling_eomt_dinov3.py:EomtDinov3Loss

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eomt_dinov3/modeling_eomt_dinov3.py:EomtDinov3ForUniversalSegmentationOutput

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eomt_dinov3/modeling_eomt_dinov3.py:EomtDinov3PreTrainedModel

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eomt_dinov3/modeling_eomt_dinov3.py:EomtDinov3LayerNorm2d

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eomt_dinov3/modeling_eomt_dinov3.py:EomtDinov3ScaleLayer

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eomt_dinov3/modeling_eomt_dinov3.py:EomtDinov3ScaleBlock

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eomt_dinov3/modeling_eomt_dinov3.py:EomtDinov3MaskHead

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eomt_dinov3/modeling_eomt_dinov3.py:EomtDinov3ForUniversalSegmentation

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granite_speech_plus/modeling_granite_speech_plus.py:GraniteSpeechPlusEncoderProjector

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granite_speech_plus/modeling_granite_speech_plus.py:GraniteSpeechPlusPreTrainedModel

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granite_speech_plus/modeling_granite_speech_plus.py:GraniteSpeechPlusModelOutputWithPast

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granite_speech_plus/modeling_granite_speech_plus.py:GraniteSpeechPlusModel

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granite_speech_plus/modeling_granite_speech_plus.py:GraniteSpeechPlusConformerFeedForward

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granite_speech_plus/modeling_granite_speech_plus.py:GraniteSpeechPlusConformerAttention

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granite_speech_plus/modeling_granite_speech_plus.py:GraniteSpeechPlusConformerDepthWiseConv1d

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granite_speech_plus/modeling_granite_speech_plus.py:GraniteSpeechPlusConformerConvModule

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granite_speech_plus/modeling_granite_speech_plus.py:GraniteSpeechPlusConformerBlock

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granite_speech_plus/modeling_granite_speech_plus.py:GraniteSpeechPlusCTCEncoder

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granite_speech_plus/modeling_granite_speech_plus.py:GraniteSpeechPlusCausalLMOutputWithPast

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[ "ModelCausalLMOutputWithPast", "ModelOutput", "None", "attentions", "audio_hidden_states", "class", "hidden_states", "logits", "loss", "past_key_values", "r" ]

granite_speech_plus/modeling_granite_speech_plus.py:GraniteSpeechPlusForConditionalGeneration

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