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multi-model-support-intent-classifier

Text Classification
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Safetensors
distilbert
text-embeddings-inference
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multi-model-support-intent-classifier
File size: 1,014 Bytes
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{
  "activation": "gelu",
  "architectures": [
    "DistilBertForSequenceClassification"
  ],
  "attention_dropout": 0.1,
  "bos_token_id": null,
  "dim": 768,
  "dropout": 0.1,
  "dtype": "float32",
  "eos_token_id": null,
  "hidden_dim": 3072,
  "id2label": {
    "0": "authentication",
    "1": "network",
    "2": "deployment",
    "3": "database",
    "4": "gpu",
    "5": "api",
    "6": "package",
    "7": "general"
  },
  "initializer_range": 0.02,
  "label2id": {
    "api": 5,
    "authentication": 0,
    "database": 3,
    "deployment": 2,
    "general": 7,
    "gpu": 4,
    "network": 1,
    "package": 6
  },
  "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,
  "tie_word_embeddings": true,
  "transformers_version": "5.17.0",
  "use_cache": false,
  "vocab_size": 30522
}