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videomae-large-finetuned-kinetics-finetuned-videomae-large-kitchen

Video Classification
Transformers
PyTorch
videomae
Generated from Trainer
Inference Endpoints
Model card Files Community
videomae-large-finetuned-kinetics-finetuned-videomae-large-kitchen
File size: 2,180 Bytes 
0351fb4
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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{
  "_name_or_path": "MCG-NJU/videomae-large-finetuned-kinetics",
  "architectures": [
    "VideoMAEForVideoClassification"
  ],
  "attention_probs_dropout_prob": 0.0,
  "decoder_hidden_size": 512,
  "decoder_intermediate_size": 2048,
  "decoder_num_attention_heads": 8,
  "decoder_num_hidden_layers": 12,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.0,
  "hidden_size": 1024,
  "id2label": {
    "0": "C_1",
    "1": "C_2",
    "2": "C_3",
    "3": "C_4",
    "4": "C_5",
    "5": "C_6",
    "6": "C_7",
    "7": "C_8",
    "8": "O_1",
    "9": "O_2",
    "10": "O_3",
    "11": "O_4",
    "12": "O_5",
    "13": "O_6",
    "14": "O_7",
    "15": "P_1",
    "16": "P_10",
    "17": "P_11",
    "18": "P_12",
    "19": "P_2",
    "20": "P_3",
    "21": "P_4",
    "22": "P_5",
    "23": "P_6",
    "24": "P_7",
    "25": "P_8",
    "26": "P_9",
    "27": "Q_1",
    "28": "Q_2",
    "29": "Q_3",
    "30": "Q_4",
    "31": "Q_5",
    "32": "Q_6",
    "33": "Q_7",
    "34": "T_1",
    "35": "T_2",
    "36": "T_3",
    "37": "T_4",
    "38": "T_5",
    "39": "T_6",
    "40": "T_7"
  },
  "image_size": 224,
  "initializer_range": 0.02,
  "intermediate_size": 4096,
  "label2id": {
    "C_1": 0,
    "C_2": 1,
    "C_3": 2,
    "C_4": 3,
    "C_5": 4,
    "C_6": 5,
    "C_7": 6,
    "C_8": 7,
    "O_1": 8,
    "O_2": 9,
    "O_3": 10,
    "O_4": 11,
    "O_5": 12,
    "O_6": 13,
    "O_7": 14,
    "P_1": 15,
    "P_10": 16,
    "P_11": 17,
    "P_12": 18,
    "P_2": 19,
    "P_3": 20,
    "P_4": 21,
    "P_5": 22,
    "P_6": 23,
    "P_7": 24,
    "P_8": 25,
    "P_9": 26,
    "Q_1": 27,
    "Q_2": 28,
    "Q_3": 29,
    "Q_4": 30,
    "Q_5": 31,
    "Q_6": 32,
    "Q_7": 33,
    "T_1": 34,
    "T_2": 35,
    "T_3": 36,
    "T_4": 37,
    "T_5": 38,
    "T_6": 39,
    "T_7": 40
  },
  "layer_norm_eps": 1e-12,
  "model_type": "videomae",
  "norm_pix_loss": true,
  "num_attention_heads": 16,
  "num_channels": 3,
  "num_frames": 16,
  "num_hidden_layers": 24,
  "patch_size": 16,
  "problem_type": "single_label_classification",
  "qkv_bias": true,
  "torch_dtype": "float32",
  "transformers_version": "4.33.2",
  "tubelet_size": 2,
  "use_mean_pooling": true
}