{ | |
"_name_or_path": "microsoft/Multilingual-MiniLM-L12-H384", | |
"architectures": [ | |
"BertForSequenceClassification" | |
], | |
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"classifier_dropout": null, | |
"hidden_act": "gelu", | |
"hidden_dropout_prob": 0.1, | |
"hidden_size": 384, | |
"id2label": { | |
"0": "LABEL_0" | |
}, | |
"initializer_range": 0.02, | |
"intermediate_size": 1536, | |
"label2id": { | |
"LABEL_0": 0 | |
}, | |
"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", | |
"problem_type": "multi_label_classification", | |
"tokenizer_class": "XLMRobertaTokenizer", | |
"torch_dtype": "float32", | |
"transformers_version": "4.35.2", | |
"type_vocab_size": 2, | |
"use_cache": true, | |
"vocab_size": 250037 | |
} | |