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Added model files
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{
"_name_or_path": "bert-base-german-cased",
"architectures": [
"BertForTokenClassification"
],
"attention_probs_dropout_prob": 0.1,
"classifier_dropout": null,
"gradient_checkpointing": false,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 768,
"id2label": {
"0": "B-ART",
"1": "I-ART",
"2": "B-MAT",
"3": "I-MAT",
"4": "B-PER",
"5": "I-PER",
"6": "B-SPE",
"7": "I-SPE",
"8": "B-CON",
"9": "I-CON",
"10": "B-LOC",
"11": "I-LOC",
"12": "O"
},
"initializer_range": 0.02,
"intermediate_size": 3072,
"label2id": {
"B-ART": 0,
"B-CON": 8,
"B-LOC": 10,
"B-MAT": 2,
"B-PER": 4,
"B-SPE": 6,
"I-ART": 1,
"I-CON": 9,
"I-LOC": 11,
"I-MAT": 3,
"I-PER": 5,
"I-SPE": 7,
"O": 12
},
"layer_norm_eps": 1e-12,
"max_position_embeddings": 512,
"model_type": "bert",
"num_attention_heads": 12,
"num_hidden_layers": 12,
"pad_token_id": 0,
"position_embedding_type": "absolute",
"torch_dtype": "float32",
"transformers_version": "4.27.0.dev0",
"type_vocab_size": 2,
"vocab_size": 30000
}