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amir22010
/
layoutxlm-xfund-ja

Token Classification
Transformers
PyTorch
Japanese
layoutlmv2
Inference Endpoints
Model card Files Community
layoutxlm-xfund-ja
File size: 1,566 Bytes 
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{
  "_name_or_path": "microsoft/layoutxlm-base",
  "architectures": [
    "LayoutLMv2ForTokenClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "bos_token_id": 0,
  "configuration_files": [
    "config.json",
    "config.4.13.0.json"
  ],
  "convert_sync_batchnorm": true,
  "coordinate_size": 128,
  "eos_token_id": 2,
  "fast_qkv": false,
  "finetuning_task": "ner",
  "gradient_checkpointing": false,
  "has_relative_attention_bias": false,
  "has_spatial_attention_bias": false,
  "has_visual_segment_embedding": true,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "LABEL_0",
    "1": "LABEL_1",
    "2": "LABEL_2",
    "3": "LABEL_3",
    "4": "LABEL_4",
    "5": "LABEL_5",
    "6": "LABEL_6"
  },
  "image_feature_pool_shape": [
    7,
    7,
    256
  ],
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "LABEL_0": 0,
    "LABEL_1": 1,
    "LABEL_2": 2,
    "LABEL_3": 3,
    "LABEL_4": 4,
    "LABEL_5": 5,
    "LABEL_6": 6
  },
  "layer_norm_eps": 1e-05,
  "max_2d_position_embeddings": 1024,
  "max_position_embeddings": 514,
  "max_rel_2d_pos": 256,
  "max_rel_pos": 128,
  "model_type": "layoutlmv2",
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "output_past": true,
  "pad_token_id": 1,
  "position_embedding_type": "absolute",
  "rel_2d_pos_bins": 64,
  "rel_pos_bins": 32,
  "shape_size": 128,
  "tokenizer_class": "XLMRobertaTokenizer",
  "transformers_version": "4.5.1",
  "type_vocab_size": 1,
  "use_cache": true,
  "vocab_size": 250002
}