Token Classification
Transformers
PyTorch
Bulgarian
bert
torch
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{
"_name_or_path": "/content/drive/MyDrive/ColabModels/MBERT_POS_THESEUS/pytorch_model/",
"architectures": [
"BertForTokenClassification"
],
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"directionality": "bidi",
"hidden_act": "gelu",
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"hidden_size": 768,
"id2label": {
"0": "X",
"1": "ADJ",
"2": "ADP",
"3": "ADV",
"4": "AUX",
"5": "CCONJ",
"6": "DET",
"7": "INTJ",
"8": "NOUN",
"9": "NUM",
"10": "PART",
"11": "PRON",
"12": "PROPN",
"13": "PUNCT",
"14": "SCONJ",
"15": "VERB"
},
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"label2id": {
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"DET": 6,
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"NOUN": 8,
"NUM": 9,
"PART": 10,
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"PROPN": 12,
"PUNCT": 13,
"SCONJ": 14,
"VERB": 15,
"X": 0
},
"layer_norm_eps": 1e-12,
"max_position_embeddings": 512,
"model_type": "bert",
"num_attention_heads": 12,
"num_hidden_layers": 6,
"pad_token_id": 0,
"pooler_fc_size": 768,
"pooler_num_attention_heads": 12,
"pooler_num_fc_layers": 3,
"pooler_size_per_head": 128,
"pooler_type": "first_token_transform",
"position_embedding_type": "absolute",
"torch_dtype": "float32",
"transformers_version": "4.18.0",
"type_vocab_size": 2,
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}