config.json

{
  "_num_labels": 11,
  "architectures": [
    "SentenceTransformerMultiClassification"
  ],
  "class_dict": {
    "0": "boilerplate",
    "1": "contact",
    "2": "content",
    "3": "description",
    "4": "education",
    "5": "environmental",
    "6": "events",
    "7": "jobs",
    "8": "other",
    "9": "people",
    "10": "regulatory"
  },
  "id2label": {
    "0": "boilerplate",
    "1": "contact",
    "2": "content",
    "3": "description",
    "4": "education",
    "5": "environmental",
    "6": "events",
    "7": "jobs",
    "8": "other",
    "9": "people",
    "10": "regulatory"
  },
  "label2id": {
    "boilerplate": 0,
    "contact": 1,
    "content": 2,
    "description": 3,
    "education": 4,
    "environmental": 5,
    "events": 6,
    "jobs": 7,
    "other": 8,
    "people": 9,
    "regulatory": 10
  },
  "model_type": "sentence_transformer_multi_classification",
  "tokenizer_model_name": "distilbert-base-german-cased",
  "torch_dtype": "float32",
  "transformers_version": "4.38.2"
}