Transformers
PyTorch
layoutlmv2
Inference Endpoints
layoutxlm-base / config.4.13.0.json
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Add `tokenizer_class` to `config.4.13.0.json` (#2)
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{
"attention_probs_dropout_prob": 0.1,
"bos_token_id": 0,
"coordinate_size": 128,
"eos_token_id": 2,
"fast_qkv": false,
"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,
"image_feature_pool_shape": [
7,
7,
256
],
"initializer_range": 0.02,
"intermediate_size": 3072,
"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,
"shape_size": 128,
"rel_2d_pos_bins": 64,
"rel_pos_bins": 32,
"transformers_version": "4.5.1",
"type_vocab_size": 1,
"vocab_size": 250002,
"tokenizer_class": "LayoutXLMTokenizer"
}