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distilbert-customer-classifier

Text Classification
Transformers
PyTorch
distilbert
Inference Endpoints
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1
distilbert-customer-classifier
File size: 2,121 Bytes 
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{
  "_name_or_path": "distilbert-base-uncased",
  "activation": "gelu",
  "architectures": [
    "DistilBertForSequenceClassification"
  ],
  "attention_dropout": 0.1,
  "dim": 768,
  "dropout": 0.1,
  "hidden_dim": 3072,
  "id2label": {
    "0": "Accessibility",
    "1": "Admissions",
    "2": "Applications",
    "3": "Business Services",
    "4": "Community Programs",
    "5": "Council Tax",
    "6": "Cultural Events",
    "7": "Delivery Services",
    "8": "Feedback",
    "9": "Health and Waste",
    "10": "Housing",
    "11": "Inquiries",
    "12": "Licensing",
    "13": "Medical Records",
    "14": "Patient Information",
    "15": "Payments",
    "16": "Planning",
    "17": "Product Care",
    "18": "Product Information",
    "19": "Program Information",
    "20": "Programming",
    "21": "Public Works",
    "22": "Registration",
    "23": "Regulations",
    "24": "Repairs",
    "25": "Returns Policy",
    "26": "Scheduling",
    "27": "Service Feedback",
    "28": "Services",
    "29": "Technical Support",
    "30": "Tenant Support",
    "31": "Waste Services"
  },
  "initializer_range": 0.02,
  "label2id": {
    "LABEL_0": 0,
    "LABEL_1": 1,
    "LABEL_10": 10,
    "LABEL_11": 11,
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    "LABEL_2": 2,
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    "LABEL_3": 3,
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    "LABEL_31": 31,
    "LABEL_4": 4,
    "LABEL_5": 5,
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    "LABEL_8": 8,
    "LABEL_9": 9
  },
  "max_position_embeddings": 512,
  "model_type": "distilbert",
  "n_heads": 12,
  "n_layers": 6,
  "pad_token_id": 0,
  "problem_type": "single_label_classification",
  "qa_dropout": 0.1,
  "seq_classif_dropout": 0.2,
  "sinusoidal_pos_embds": false,
  "tie_weights_": true,
  "torch_dtype": "float32",
  "transformers_version": "4.34.1",
  "vocab_size": 30522
}