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partypress
/
partypress-monolingual-austria

Text Classification
Transformers
PyTorch
TensorFlow
German
bert
partypress
political science
parties
press releases
Inference Endpoints
Model card Files Community
2
partypress-monolingual-austria
File size: 1,906 Bytes 
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{
  "_name_or_path": "cornelius/partypress-monolingual-austria",
  "architectures": [
    "BertForSequenceClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "classifier_dropout": null,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "1 - Macroeconomics",
    "1": "10 - Transportation",
    "2": "12 - Law and Crime",
    "3": "13 - Social Welfare",
    "4": "14 - Housing",
    "5": "15 - Domestic Commerce",
    "6": "16 - Defense",
    "7": "17 - Technology",
    "8": "18 - Foreign Trade",
    "9": "19.1 - International Affairs",
    "10": "19.2 - European Integration",
    "11": "2 - Civil Rights",
    "12": "20 - Government Operations",
    "13": "23 - Culture",
    "14": "3 - Health",
    "15": "4 - Agriculture",
    "16": "5 - Labor",
    "17": "6 - Education",
    "18": "7 - Environment",
    "19": "8 - Energy",
    "20": "9 - Immigration",
    "21": "98 - Non-thematic",
    "22": "99 - Other"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "LABEL_0": 0,
    "LABEL_1": 1,
    "LABEL_10": 10,
    "LABEL_11": 11,
    "LABEL_12": 12,
    "LABEL_13": 13,
    "LABEL_14": 14,
    "LABEL_15": 15,
    "LABEL_16": 16,
    "LABEL_17": 17,
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    "LABEL_2": 2,
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    "LABEL_4": 4,
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    "LABEL_6": 6,
    "LABEL_7": 7,
    "LABEL_8": 8,
    "LABEL_9": 9
  },
  "layer_norm_eps": 1e-12,
  "max_position_embeddings": 512,
  "model_type": "bert",
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "output_past": true,
  "pad_token_id": 0,
  "position_embedding_type": "absolute",
  "problem_type": "single_label_classification",
  "torch_dtype": "float32",
  "transformers_version": "4.28.0",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 31102
}