add model
Browse files- config.json +55 -0
- pytorch_model.bin +3 -0
config.json
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{
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"_name_or_path": "microsoft/layoutlmv2-base-uncased",
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"architectures": [
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"LayoutLMv2ForTokenClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"convert_sync_batchnorm": true,
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"coordinate_size": 128,
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"fast_qkv": true,
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"gradient_checkpointing": false,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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"id2label": {
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"0": "B-invoice_info",
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"1": "B-other",
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"2": "B-positions",
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"3": "B-receiver",
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"4": "B-supplier",
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"5": "B-total"
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},
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"image_feature_pool_shape": [
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7,
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7,
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256
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],
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"label2id": {
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"B-invoice_info": 0,
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"B-other": 1,
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"B-positions": 2,
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"B-receiver": 3,
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"B-supplier": 4,
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"B-total": 5
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},
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"layer_norm_eps": 1e-12,
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"max_2d_position_embeddings": 1024,
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"max_position_embeddings": 512,
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"max_rel_2d_pos": 256,
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"max_rel_pos": 128,
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"model_type": "layoutlmv2",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"output_past": true,
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"pad_token_id": 0,
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"position_embedding_type": "absolute",
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"rel_2d_pos_bins": 64,
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"rel_pos_bins": 32,
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"shape_size": 128,
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"transformers_version": "4.7.0.dev0",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 30522
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:a82827a7ae78cbf9c527a5794a2413f4fca6fde6b4ec97558620049620037ce7
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size 802255531
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