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parlbert-topic-german

Text Classification Transformers PyTorch Safetensors German bert Inference Endpoints
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parlbert-topic-german
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{
  "_name_or_path": "parlbert-topic-german",
  "architectures": [
    "BertForSequenceClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "classifier_dropout": null,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "Macroeconomics",
    "1": "Civil",
    "2": "Health",
    "3": "Agriculture",
    "4": "Labor",
    "5": "Education",
    "6": "Environment",
    "7": "Energy",
    "8": "Immigration",
    "9": "Transportation",
    "10": "Law",
    "11": "Social",
    "12": "Housing",
    "13": "Domestic",
    "14": "Defense",
    "15": "Technology",
    "16": "Foreign",
    "17": "International",
    "18": "Government",
    "19": "Public",
    "20": "Culture"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "Macroeconomics": 0,
    "Civil": 1,
    "Law": 10,
    "Social": 11,
    "Housing": 12,
    "Domestic": 13,
    "Defense": 14,
    "Technology": 15,
    "Foreign": 16,
    "International": 17,
    "Government": 18,
    "Public": 19,
    "Health": 2,
    "Culture": 20,
    "Agriculture": 3,
    "Labor": 4,
    "Education": 5,
    "Environment": 6,
    "Energy": 7,
    "Immigration": 8,
    "Transportation": 9
  },
  "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",
  "torch_dtype": "float32",
  "transformers_version": "4.16.2",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 30000
}