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{
"_name_or_path": "riteshbehera857/layoutlm-base-uncased-finetuned-invoices-1",
"architectures": [
"LayoutLMForTokenClassification"
],
"attention_probs_dropout_prob": 0.1,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 768,
"id2label": {
"0": "O",
"1": "Invoice no",
"2": "Order id",
"3": "Order date",
"4": "GST no",
"5": "Total net",
"6": "Total gross",
"7": "S-name",
"8": "B-name",
"9": "S-adress",
"10": "B-adress"
},
"initializer_range": 0.02,
"intermediate_size": 3072,
"label2id": {
"B-adress": 10,
"B-name": 8,
"GST no": 4,
"Invoice no": 1,
"O": 0,
"Order date": 3,
"Order id": 2,
"S-adress": 9,
"S-name": 7,
"Total gross": 6,
"Total net": 5
},
"layer_norm_eps": 1e-12,
"max_2d_position_embeddings": 1024,
"max_position_embeddings": 512,
"model_type": "layoutlm",
"num_attention_heads": 12,
"num_hidden_layers": 12,
"output_past": true,
"pad_token_id": 0,
"position_embedding_type": "absolute",
"torch_dtype": "float32",
"transformers_version": "4.44.2",
"type_vocab_size": 2,
"use_cache": true,
"vocab_size": 30522
}
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