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{
"_name_or_path": "microsoft/Multilingual-MiniLM-L12-H384",
"architectures": [
"BertForSequenceClassification"
],
"attention_probs_dropout_prob": 0.1,
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"hidden_act": "gelu",
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"hidden_size": 384,
"id2label": {
"0": "❤",
"1": "😍",
"2": "😂",
"3": "💕",
"4": "🔥",
"5": "😊",
"6": "😎",
"7": "✨",
"8": "💙",
"9": "😘",
"10": "📷",
"11": "🇺🇸",
"12": "☀",
"13": "💜",
"14": "😉",
"15": "💯",
"16": "😁",
"17": "🎄",
"18": "📸",
"19": "😜"
},
"initializer_range": 0.02,
"intermediate_size": 1536,
"label2id": {
"❤": 0,
"😍": 1,
"😂": 2,
"💕": 3,
"🔥": 4,
"😊": 5,
"😎": 6,
"✨": 7,
"💙": 8,
"😘": 9,
"📷": 10,
"🇺🇸": 11,
"☀": 12,
"💜": 13,
"😉": 14,
"💯": 15,
"😁": 16,
"🎄": 17,
"📸": 18,
"😜": 19
},
"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": "single_label_classification",
"tokenizer_class": "XLMRobertaTokenizer",
"torch_dtype": "float32",
"transformers_version": "4.25.1",
"type_vocab_size": 2,
"use_cache": true,
"vocab_size": 250037
}
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