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DocClass-classify-model-V2

Image Classification
Transformers
PyTorch
beit
Inference Endpoints
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DocClass-classify-model-V2
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{
  "_name_or_path": "microsoft/dit-base",
  "architectures": [
    "BeitForImageClassification"
  ],
  "attention_probs_dropout_prob": 0.0,
  "auxiliary_channels": 256,
  "auxiliary_concat_input": false,
  "auxiliary_loss_weight": 0.4,
  "auxiliary_num_convs": 1,
  "drop_path_rate": 0.1,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.0,
  "hidden_size": 768,
  "id2label": {
    "0": "advertisement",
    "1": "budget",
    "2": "card",
    "3": "contract",
    "4": "email",
    "5": "form",
    "6": "handwritten",
    "7": "invoice",
    "8": "letter",
    "9": "memo",
    "10": "news_article",
    "11": "presentation",
    "12": "questionnaire",
    "13": "resume",
    "14": "scientific_publication",
    "15": "scientific_report",
    "16": "specification"
  },
  "image_size": 224,
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "advertisement": 0,
    "budget": 1,
    "card": 2,
    "contract": 3,
    "email": 4,
    "form": 5,
    "handwritten": 6,
    "invoice": 7,
    "letter": 8,
    "memo": 9,
    "news_article": 10,
    "presentation": 11,
    "questionnaire": 12,
    "resume": 13,
    "scientific_publication": 14,
    "scientific_report": 15,
    "specification": 16
  },
  "layer_norm_eps": 1e-12,
  "layer_scale_init_value": 0.1,
  "model_type": "beit",
  "num_attention_heads": 12,
  "num_channels": 3,
  "num_hidden_layers": 12,
  "out_indices": [
    3,
    5,
    7,
    11
  ],
  "patch_size": 16,
  "pool_scales": [
    1,
    2,
    3,
    6
  ],
  "semantic_loss_ignore_index": 255,
  "torch_dtype": "float32",
  "transformers_version": "4.33.0",
  "use_absolute_position_embeddings": true,
  "use_auxiliary_head": true,
  "use_mask_token": true,
  "use_mean_pooling": true,
  "use_relative_position_bias": false,
  "use_shared_relative_position_bias": false,
  "vocab_size": 8192
}