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RJuro
/
Da-HyggeBERT

Text Classification
Transformers
PyTorch
Danish
bert
danish
sentiment
Maltehb/danish-bert-botxo
Helsinki-NLP/opus-mt-en-da
go-emotion
Certainly
Inference Endpoints
Model card Files Community
1
Da-HyggeBERT
File size: 2,183 Bytes 
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{
  "_name_or_path": "/content/drive/MyDrive/Colab/dk-go-emotions/model",
  "architectures": [
    "BertForSequenceClassification"
  ],
  "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": "beundring",
    "1": "forn\u00f8jelse",
    "2": "vrede",
    "3": "irritation",
    "4": "medhold",
    "5": "omsorg",
    "6": "forvirring",
    "7": "nysgerrighed",
    "8": "beg\u00e6r",
    "9": "skuffelse",
    "10": "misbilligelse",
    "11": "afsky",
    "12": "forlegenhed",
    "13": "sp\u00e6nding",
    "14": "frygt",
    "15": "taknemmelighed",
    "16": "sorg",
    "17": "gl\u00e6de",
    "18": "k\u00e6rlighed",
    "19": "nerv\u00f8sitet",
    "20": "optimisme",
    "21": "stolthed",
    "22": "indsigt",
    "23": "lettelse",
    "24": "fortrydelse",
    "25": "tristhed",
    "26": "overraskelse",
    "27": "neutral"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "afsky": 11,
    "beg\u00e6r": 8,
    "beundring": 0,
    "forlegenhed": 12,
    "forn\u00f8jelse": 1,
    "fortrydelse": 24,
    "forvirring": 6,
    "frygt": 14,
    "gl\u00e6de": 17,
    "indsigt": 22,
    "irritation": 3,
    "k\u00e6rlighed": 18,
    "lettelse": 23,
    "medhold": 4,
    "misbilligelse": 10,
    "nerv\u00f8sitet": 19,
    "neutral": 27,
    "nysgerrighed": 7,
    "omsorg": 5,
    "optimisme": 20,
    "overraskelse": 26,
    "skuffelse": 9,
    "sorg": 16,
    "sp\u00e6nding": 13,
    "stolthed": 21,
    "taknemmelighed": 15,
    "tristhed": 25,
    "vrede": 2
  },
  "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": "4.20.0",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 32000
}