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message-preamble

Text Classification
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distilbert
text-embeddings-inference
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message-preamble
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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": "blank",
    "1": "great",
    "2": "welcome",
    "3": "no_worries",
    "4": "thanks",
    "5": "sorry",
    "6": "sure",
    "7": "got_it",
    "8": "alright",
    "9": "no_rush",
    "10": "confirmation",
    "11": "disagreement",
    "12": "will_do",
    "13": "understand",
    "14": "funny"
  },
  "initializer_range": 0.02,
  "label2id": {
    "blank": 0,
    "great": 1,
    "welcome": 2,
    "no_worries": 3,
    "thanks": 4,
    "sorry": 5,
    "sure": 6,
    "got_it": 7,
    "alright": 8,
    "no_rush": 9,
    "confirmation": 10,
    "disagreement": 11,
    "will_do": 12,
    "understand": 13,
    "funny": 14
  },
  "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": "4.17.0",
  "vocab_size": 30522
}