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bert-punct-restoration-da

Token Classification
Transformers
PyTorch
Danish
bert
punctuation restoration
Inference Endpoints
Model card Files Community
1
bert-punct-restoration-da
File size: 1,534 Bytes 
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{
    "_name_or_path": "Maltehb/danish-bert-botxo",
    "architectures": [
        "BertForTokenClassification"
    ],
    "attention_probs_dropout_prob": 0.1,
    "classifier_dropout": null,
    "directionality": "bidi",
    "gradient_checkpointing": false,
    "hidden_act": "gelu",
    "hidden_dropout_prob": 0.1,
    "hidden_size": 768,
    "id2label": {
        "0": "OU",
        "1": "OO",
        "2": ".O",
        "3": "!O",
        "4": ",O",
        "5": ".U",
        "6": "!U",
        "7": ",U",
        "8": ":O",
        "9": ";O",
        "10": ":U",
        "11": "'O",
        "12": "-O",
        "13": "?O",
        "14": "?U"
    },
    "initializer_range": 0.02,
    "intermediate_size": 3072,
    "label2id": {
        "OU": 0,
        "OO": 1,
        ".O": 2,
        "!O": 3,
        ",O": 4,
        ".U": 5,
        "!U": 6,
        ",U": 7,
        ":O": 8,
        ";O": 9,
        ":U": 10,
        "'O": 11,
        "-O": 12,
        "?O": 13,
        "?U": 14
    },
    "layer_norm_eps": 1e-12,
    "max_position_embeddings": 512,
    "model_type": "bert",
    "num_attention_heads": 12,
    "num_hidden_layers": 12,
    "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": "4.17.0",
    "type_vocab_size": 2,
    "use_cache": true,
    "vocab_size": 32000
}