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NERmembert2-4entities / config.json
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{
"_name_or_path": "almanach/camembertv2-base",
"architectures": [
"RobertaForTokenClassification"
],
"attention_probs_dropout_prob": 0.1,
"bos_token_id": 1,
"classifier_dropout": null,
"embedding_size": 768,
"eos_token_id": 2,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 768,
"id2label": {
"0": "O",
"1": "PER",
"2": "ORG",
"3": "LOC",
"4": "MISC"
},
"initializer_range": 0.02,
"intermediate_size": 3072,
"label2id": {
"LOC": 3,
"MISC": 4,
"O": 0,
"ORG": 2,
"PER": 1
},
"layer_norm_eps": 1e-07,
"max_position_embeddings": 1025,
"model_name": "camembertv2-base",
"model_type": "roberta",
"num_attention_heads": 12,
"num_hidden_layers": 12,
"pad_token_id": 0,
"position_biased_input": true,
"position_embedding_type": "absolute",
"torch_dtype": "float32",
"transformers_version": "4.46.1",
"type_vocab_size": 1,
"use_cache": true,
"vocab_size": 32768
}