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Rename xlm-roberta-large-ehri-ner-all_config.json to config.json
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{
"_name_or_path": "xlm-roberta-large",
"architectures": [
"XLMRobertaForTokenClassification"
],
"attention_probs_dropout_prob": 0.1,
"bos_token_id": 0,
"classifier_dropout": null,
"eos_token_id": 2,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 1024,
"id2label": {
"0": "B-CAMP",
"1": "B-DATE",
"2": "B-GHETTO",
"3": "B-LOC",
"4": "B-ORG",
"5": "B-PERS",
"6": "I-CAMP",
"7": "I-DATE",
"8": "I-GHETTO",
"9": "I-LOC",
"10": "I-ORG",
"11": "I-PERS",
"12": "O"
},
"initializer_range": 0.02,
"intermediate_size": 4096,
"label2id": {
"B-CAMP": 0,
"B-DATE": 1,
"B-GHETTO": 2,
"B-LOC": 3,
"B-ORG": 4,
"B-PERS": 5,
"I-CAMP": 6,
"I-DATE": 7,
"I-GHETTO": 8,
"I-LOC": 9,
"I-ORG": 10,
"I-PERS": 11,
"O": 12
},
"layer_norm_eps": 1e-05,
"max_position_embeddings": 514,
"model_type": "xlm-roberta",
"num_attention_heads": 16,
"num_hidden_layers": 24,
"output_past": true,
"pad_token_id": 1,
"position_embedding_type": "absolute",
"torch_dtype": "float32",
"transformers_version": "4.38.1",
"type_vocab_size": 1,
"use_cache": true,
"vocab_size": 250002
}