Zj dSrSSKJr SSKJr SSKJr \"SS9\"SS \555rS /rg ) zVideoMAE model configuration)strict)PreTrainedConfig)auto_docstringzMCG-NJU/videomae-base) checkpointc\rSrSr%SrSrSr\\\-\ \\4-\ S'Sr \\\-\ \\4-\ S'Sr \\ S 'Sr \\ S 'S r\\ S 'S r\\ S'Sr\\ S'Sr\\ S'Sr\\ S'Sr\\ S'Sr\\-\ S'Sr\\-\ S'Sr\\ S'Sr\\ S'Sr\\ S'Sr\\ S'S r\\ S!'S"r\\ S#'S$r\\ S%'S&r \\ S''Sr!\\ S('S)r"g*)+VideoMAEConfiga num_frames (`int`, *optional*, defaults to 16): The number of frames in each video. tubelet_size (`int`, *optional*, defaults to 2): The number of tubelets. use_mean_pooling (`bool`, *optional*, defaults to `True`): Whether to mean pool the final hidden states instead of using the final hidden state of the [CLS] token. decoder_num_attention_heads (`int`, *optional*, defaults to 6): Number of attention heads for each attention layer in the decoder. decoder_hidden_size (`int`, *optional*, defaults to 384): Dimensionality of the decoder. decoder_num_hidden_layers (`int`, *optional*, defaults to 4): Number of hidden layers in the decoder. decoder_intermediate_size (`int`, *optional*, defaults to 1536): Dimensionality of the "intermediate" (i.e., feed-forward) layer in the decoder. norm_pix_loss (`bool`, *optional*, defaults to `True`): Whether to normalize the target patch pixels. Example: ```python >>> from transformers import VideoMAEConfig, VideoMAEModel >>> # Initializing a VideoMAE videomae-base style configuration >>> configuration = VideoMAEConfig() >>> # Randomly initializing a model from the configuration >>> model = VideoMAEModel(configuration) >>> # Accessing the model configuration >>> configuration = model.config ```videomae image_size patch_sizer num_channels num_frames tubelet_sizei hidden_size num_hidden_layersnum_attention_headsi intermediate_sizegelu hidden_actghidden_dropout_probattention_probs_dropout_probg{Gz?initializer_rangeg-q=layer_norm_epsTqkv_biasuse_mean_poolingdecoder_num_attention_headsidecoder_hidden_sizedecoder_num_hidden_layersidecoder_intermediate_size norm_pix_lossN)#__name__ __module__ __qualname____firstlineno____doc__ model_typer intlisttuple__annotations__rrrrrrrrrstrrfloatrrrrboolr r"r#r%r&r'__static_attributes__r(ڄ/root/GenerationalWealth/GenerationalWealth/venv/lib/python3.13/site-packages/transformers/models/videomae/configuration_videomae.pyr r s BJ47Jd3i%S/1746Jd3i%S/16L#JL#Ks!!!s!J'**03 %#+3#u#!NE!Hd!d!'((""%&s&%)s)M4r7r N) r-huggingface_hub.dataclassesrconfiguration_utilsrutilsrr __all__r(r7r8r=sH#.3#238%848v  r7