Datasets:
itazap
/
transformers_code_embeddings_v3

Dataset card Data Studio Files
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1
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24
117
embedding
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2.56k
2.56k
tokens
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4
444
helium/modeling_helium.py:HeliumRMSNorm
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[ "ModelRMSNorm", "Module", "Parameter", "True", "__init__", "class", "def", "eps", "extra_repr", "f", "float32", "forward", "hidden_size", "hidden_states", "keepdim", "mean", "nn", "ones", "pow", "return", "rsqrt", "self", "shape", "super", "to", "torch", "tuple", ...
helium/modeling_helium.py:HeliumRotaryEmbedding
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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...
helium/modeling_helium.py:HeliumMLP
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[ "ACT2FN", "Linear", "ModelMLP", "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" ]
helium/modeling_helium.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" ]
helium/modeling_helium.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",...
helium/modeling_helium.py:rotate_half
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[ "Model_half", "def", "dim", "flatten", "return", "stack", "torch", "x", "x1", "x2" ]
helium/modeling_helium.py:apply_rotary_pos_emb
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[ "Model_rotary_pos_emb", "cos", "def", "dim", "k", "k_embed", "q", "q_embed", "repeat_interleave", "return", "rotate_half", "shape", "sin", "unsqueeze", "unsqueeze_dim" ]
helium/modeling_helium.py:HeliumAttention
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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...
helium/modeling_helium.py:HeliumDecoderLayer
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[ "False", "GradientCheckpointingLayer", "ModelAttention", "ModelDecoderLayer", "ModelMLP", "ModelRMSNorm", "None", "Tensor", "_", "__init__", "attention_mask", "class", "config", "def", "eps", "forward", "hidden_size", "hidden_states", "input_layernorm", "kwargs", "layer_idx",...
helium/modeling_helium.py:HeliumPreTrainedModel
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[ "ModelAttention", "ModelConfig", "ModelDecoderLayer", "ModelPreTrainedModel", "PreTrainedModel", "True", "_can_compile_fullgraph", "_can_record_outputs", "_no_split_modules", "_skip_keys_device_placement", "_supports_attention_backend", "_supports_flash_attn", "_supports_flex_attn", "_supp...
helium/modeling_helium.py:HeliumModel
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[ "BaseModelOutputWithPast", "DynamicCache", "Embedding", "False", "ModelDecoderLayer", "ModelModel", "ModelPreTrainedModel", "ModelRMSNorm", "ModelRotaryEmbedding", "ModuleList", "None", "ValueError", "You", "__init__", "and", "arange", "attention_mask", "auto_docstring", "capture...
helium/modeling_helium.py:HeliumForCausalLM
[ -0.00029686582274734974, 0.03799882531166077, 0.003157088067382574, -0.0005652894033119082, -0.001166131696663797, 0.02582554891705513, 0.039364054799079895, -0.00600131182000041, 0.002062062034383416, 0.03253791853785515, 0.02628062479197979, 0.0009065962512977421, 0.001095026032999158, -...
[ "CausalLMOutputWithPast", "GenerationMixin", "Linear", "ModelForCausalLM", "ModelModel", "ModelPreTrainedModel", "None", "__init__", "_fsdp_plan", "_pp_plan", "_tied_weights_keys", "_tp_plan", "attention_mask", "attentions", "auto_docstring", "can_return_tuple", "class", "colwise_g...
helium/modeling_helium.py:HeliumForSequenceClassification
[ -0.00020226075139362365, 0.015783434733748436, -0.017940884456038475, 0.02781972475349903, -0.0007238805992528796, 0.028046824038028717, 0.0147614860907197, -0.01044659037142992, 0.002554872538894415, -0.013569212518632412, 0.028614573180675507, 0.008232367224991322, -0.0036335967015475035, ...
[ "GenericForSequenceClassification", "ModelForSequenceClassification", "ModelPreTrainedModel", "class", "pass" ]
helium/modeling_helium.py:HeliumForTokenClassification
[ -0.0001748590439092368, 0.024540623649954796, -0.007157681975513697, -0.024540623649954796, -0.0008379032369703054, 0.035674795508384705, 0.034993112087249756, -0.008521050214767456, 0.0015337889781221747, -0.018746308982372284, 0.03999212756752968, 0.023631710559129715, -0.00431733205914497...
[ "GenericForTokenClassification", "ModelForTokenClassification", "ModelPreTrainedModel", "class", "pass" ]
qwen3_vl/modeling_qwen3_vl.py:BaseModelOutputWithDeepstackFeatures
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[ "ModelModelOutputWithDeepstackFeatures", "ModelModelOutputWithPooling", "None", "class", "deepstack_features", "r" ]
qwen3_vl/modeling_qwen3_vl.py:Qwen3VLVisionMLP
[ -0.00018088953220285475, 0.028034331277012825, 0.032687801867723465, 0.033595796674489975, -0.00048237209557555616, 0.04630772024393082, 0.025537345558404922, -0.030871814116835594, 0.0009079945157282054, 0.00601546373218298, 0.04608071967959404, -0.02190536819398403, 0.0011988364858552814, ...
[ "ACT2FN", "Linear", "ModelVisionMLP", "Module", "__init__", "act_fn", "class", "config", "def", "forward", "hidden_act", "hidden_size", "hidden_state", "intermediate_size", "linear_fc1", "linear_fc2", "nn", "return", "self", "super" ]
qwen3_vl/modeling_qwen3_vl.py:Qwen3VLVisionPatchEmbed
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[ "Conv3d", "ModelVisionPatchEmbed", "Module", "__init__", "class", "config", "def", "dtype", "embed_dim", "forward", "hidden_size", "hidden_states", "in_channels", "kernel_size", "nn", "patch_size", "proj", "return", "self", "stride", "super", "target_dtype", "temporal_pat...
qwen3_vl/modeling_qwen3_vl.py:Qwen3VLVisionRotaryEmbedding
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[ "False", "ModelVisionRotaryEmbedding", "Module", "Tensor", "__init__", "arange", "class", "def", "dim", "dtype", "flatten", "float", "forward", "inv_freq", "nn", "persistent", "position_ids", "register_buffer", "return", "self", "super", "theta", "torch", "unsqueeze" ]
qwen3_vl/modeling_qwen3_vl.py:Qwen3VLVisionPatchMerger
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[ "False", "GELU", "LayerNorm", "Linear", "ModelVisionPatchMerger", "Module", "__init__", "act_fn", "class", "config", "def", "else", "eps", "forward", "hidden_size", "if", "linear_fc1", "linear_fc2", "nn", "norm", "out_hidden_size", "return", "self", "spatial_merge_size"...
qwen3_vl/modeling_qwen3_vl.py:rotate_half
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[ "Model_half", "cat", "def", "dim", "return", "shape", "torch", "x", "x1", "x2" ]
qwen3_vl/modeling_qwen3_vl.py:apply_rotary_pos_emb_vision
[ -0.00007571609603473917, 0.03604617714881897, 0.01870320551097393, -0.0019269968615844846, -0.0004640378465410322, 0.016662854701280594, 0.060303665697574615, -0.009918365627527237, 0.016549501568078995, 0.0467013344168663, 0.009238249622285366, 0.019610026851296425, 0.001409824937582016, ...
[ "Model_rotary_pos_emb_vision", "cos", "def", "dtype", "float", "k", "k_embed", "orig_q_dtype", "q", "q_embed", "return", "rotate_half", "sin", "unsqueeze" ]
qwen3_vl/modeling_qwen3_vl.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" ]
qwen3_vl/modeling_qwen3_vl.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",...
qwen3_vl/modeling_qwen3_vl.py:Qwen3VLVisionAttention
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[ "ALL_ATTENTION_FUNCTIONS", "False", "Linear", "ModelVisionAttention", "Module", "None", "Tensor", "_", "__init__", "_attn_implementation", "apply_rotary_pos_emb_vision", "attention_dropout", "attention_interface", "attention_mask", "attn_output", "attn_outputs", "cat", "class", "...
qwen3_vl/modeling_qwen3_vl.py:Qwen3VLVisionBlock
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[ "GradientCheckpointingLayer", "LayerNorm", "ModelVisionAttention", "ModelVisionBlock", "ModelVisionMLP", "None", "Tensor", "__init__", "attn", "attn_implementation", "auto_docstring", "class", "config", "cu_seqlens", "def", "eps", "forward", "hidden_size", "hidden_states", "kwa...
qwen3_vl/modeling_qwen3_vl.py:Qwen3VLTextRotaryEmbedding
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[ "False", "ModelTextRotaryEmbedding", "Module", "None", "ROPE_INIT_FUNCTIONS", "Tensor", "__init__", "and", "apply_interleaved_mrope", "arange", "attention_factor", "attention_scaling", "base", "cat", "class", "clone", "compute_default_rope_parameters", "config", "cos", "cpu", ...
qwen3_vl/modeling_qwen3_vl.py:Qwen3VLTextRMSNorm
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[ "ModelTextRMSNorm", "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"...
qwen3_vl/modeling_qwen3_vl.py:apply_rotary_pos_emb
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[ "Model_rotary_pos_emb", "cos", "def", "k", "k_embed", "q", "q_embed", "return", "rotate_half", "sin", "unsqueeze", "unsqueeze_dim" ]
qwen3_vl/modeling_qwen3_vl.py:Qwen3VLTextAttention
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[ "ALL_ATTENTION_FUNCTIONS", "Linear", "ModelTextAttention", "ModelTextRMSNorm", "Module", "None", "Tensor", "True", "__init__", "_attn_implementation", "apply_rotary_pos_emb", "attention_dropout", "attention_interface", "attention_mask", "attn_output", "attn_weights", "class", "conf...
qwen3_vl/modeling_qwen3_vl.py:Qwen3VLTextMLP
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[ "ACT2FN", "Linear", "ModelTextMLP", "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" ]
qwen3_vl/modeling_qwen3_vl.py:Qwen3VLTextDecoderLayer
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[ "False", "GradientCheckpointingLayer", "ModelTextAttention", "ModelTextDecoderLayer", "ModelTextMLP", "ModelTextRMSNorm", "None", "Tensor", "_", "__init__", "attention_mask", "class", "config", "def", "eps", "forward", "hidden_size", "hidden_states", "input_layernorm", "kwargs"...
qwen3_vl/modeling_qwen3_vl.py:Qwen3VLModelOutputWithPast
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[ "BaseModelOutputWithPast", "ModelModelOutputWithPast", "None", "class", "r", "rope_deltas" ]
qwen3_vl/modeling_qwen3_vl.py:Qwen3VLPreTrainedModel
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qwen3_vl/modeling_qwen3_vl.py:Qwen3VLVisionModel
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qwen3_vl/modeling_qwen3_vl.py:Qwen3VLTextModel
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qwen3_vl/modeling_qwen3_vl.py:Qwen3VLModel
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qwen3_vl/modeling_qwen3_vl.py:Qwen3VLCausalLMOutputWithPast
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qwen3_vl/modeling_qwen3_vl.py:Qwen3VLForConditionalGeneration
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roc_bert/modeling_roc_bert.py:RoCBertEmbeddings
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roc_bert/modeling_roc_bert.py:eager_attention_forward
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roc_bert/modeling_roc_bert.py:RoCBertSelfAttention
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roc_bert/modeling_roc_bert.py:RoCBertCrossAttention
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roc_bert/modeling_roc_bert.py:RoCBertSelfOutput
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roc_bert/modeling_roc_bert.py:RoCBertAttention
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roc_bert/modeling_roc_bert.py:RoCBertIntermediate
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roc_bert/modeling_roc_bert.py:RoCBertOutput
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roc_bert/modeling_roc_bert.py:RoCBertLayer
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roc_bert/modeling_roc_bert.py:RoCBertEncoder
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roc_bert/modeling_roc_bert.py:RoCBertPooler
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roc_bert/modeling_roc_bert.py:RoCBertPredictionHeadTransform
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roc_bert/modeling_roc_bert.py:RoCBertLMPredictionHead
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roc_bert/modeling_roc_bert.py:RoCBertOnlyMLMHead
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roc_bert/modeling_roc_bert.py:RoCBertPreTrainedModel
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roc_bert/modeling_roc_bert.py:RoCBertModel
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roc_bert/modeling_roc_bert.py:RoCBertForPreTraining
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roc_bert/modeling_roc_bert.py:RoCBertForMaskedLM
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roc_bert/modeling_roc_bert.py:RoCBertForCausalLM
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roc_bert/modeling_roc_bert.py:RoCBertForSequenceClassification
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roc_bert/modeling_roc_bert.py:RoCBertForMultipleChoice
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roc_bert/modeling_roc_bert.py:RoCBertForTokenClassification
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roc_bert/modeling_roc_bert.py:RoCBertForQuestionAnswering
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mm_grounding_dino/modeling_mm_grounding_dino.py:MMGroundingDinoContrastiveEmbedding
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mm_grounding_dino/modeling_mm_grounding_dino.py:MultiScaleDeformableAttention
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mm_grounding_dino/modeling_mm_grounding_dino.py:MMGroundingDinoLearnedPositionEmbedding
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mm_grounding_dino/modeling_mm_grounding_dino.py:MMGroundingDinoMultiscaleDeformableAttention
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mm_grounding_dino/modeling_mm_grounding_dino.py:MMGroundingDinoBiMultiHeadAttention
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mm_grounding_dino/modeling_mm_grounding_dino.py:MMGroundingDinoDropPath
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mm_grounding_dino/modeling_mm_grounding_dino.py:MMGroundingDinoFusionLayer
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mm_grounding_dino/modeling_mm_grounding_dino.py:MMGroundingDinoPreTrainedModel
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mm_grounding_dino/modeling_mm_grounding_dino.py:MMGroundingDinoFrozenBatchNorm2d
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mm_grounding_dino/modeling_mm_grounding_dino.py:replace_batch_norm
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mm_grounding_dino/modeling_mm_grounding_dino.py:MMGroundingDinoConvEncoder
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mm_grounding_dino/modeling_mm_grounding_dino.py:MMGroundingDinoConvModel
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mm_grounding_dino/modeling_mm_grounding_dino.py:MMGroundingDinoEncoderOutput
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mm_grounding_dino/modeling_mm_grounding_dino.py:MMGroundingDinoMultiheadAttention
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mm_grounding_dino/modeling_mm_grounding_dino.py:MMGroundingDinoTextEnhancerLayer
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mm_grounding_dino/modeling_mm_grounding_dino.py:MMGroundingDinoDeformableLayer
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mm_grounding_dino/modeling_mm_grounding_dino.py:encode_sinusoidal_position_embedding
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mm_grounding_dino/modeling_mm_grounding_dino.py:MMGroundingDinoEncoderLayer
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mm_grounding_dino/modeling_mm_grounding_dino.py:MMGroundingDinoEncoder
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mm_grounding_dino/modeling_mm_grounding_dino.py:MMGroundingDinoDecoderOutput
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mm_grounding_dino/modeling_mm_grounding_dino.py:MMGroundingDinoDecoderLayer
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mm_grounding_dino/modeling_mm_grounding_dino.py:MMGroundingDinoDecoder
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mm_grounding_dino/modeling_mm_grounding_dino.py:MMGroundingDinoModelOutput
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mm_grounding_dino/modeling_mm_grounding_dino.py:MMGroundingDinoSinePositionEmbedding
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mm_grounding_dino/modeling_mm_grounding_dino.py:build_position_encoding
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mm_grounding_dino/modeling_mm_grounding_dino.py:generate_masks_with_special_tokens_and_transfer_map
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mm_grounding_dino/modeling_mm_grounding_dino.py:MMGroundingDinoModel
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mm_grounding_dino/modeling_mm_grounding_dino.py:MMGroundingDinoMLPPredictionHead
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mm_grounding_dino/modeling_mm_grounding_dino.py:MMGroundingDinoObjectDetectionOutput
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mm_grounding_dino/modeling_mm_grounding_dino.py:build_label_maps
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mm_grounding_dino/modeling_mm_grounding_dino.py:build_text_mask
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mm_grounding_dino/modeling_mm_grounding_dino.py:MMGroundingDinoForObjectDetection
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dab_detr/modeling_dab_detr.py:encode_sinusoidal_position_embedding
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dab_detr/modeling_dab_detr.py:DabDetrDecoderOutput
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dab_detr/modeling_dab_detr.py:DabDetrModelOutput
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dab_detr/modeling_dab_detr.py:DabDetrObjectDetectionOutput
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dab_detr/modeling_dab_detr.py:DabDetrFrozenBatchNorm2d
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dab_detr/modeling_dab_detr.py:replace_batch_norm
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dab_detr/modeling_dab_detr.py:DabDetrConvEncoder
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