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bert-tiny

Text Classification
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bert
text-embeddings-inference
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bert-tiny
File size: 1,182 Bytes
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{
  "add_cross_attention": false,
  "architectures": [
    "BertForSequenceClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "bos_token_id": null,
  "classifier_dropout": null,
  "dtype": "float32",
  "eos_token_id": null,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 128,
  "id2label": {
    "0": "AMBIGUOUS",
    "1": "ASSERTION",
    "2": "CHALLENGE",
    "3": "COURTESY",
    "4": "DIRECTIVE",
    "5": "QUERY",
    "6": "REJECTION",
    "7": "SALUTATION",
    "8": "STALL",
    "9": "VALIDATION"
  },
  "initializer_range": 0.02,
  "intermediate_size": 512,
  "is_decoder": false,
  "label2id": {
    "AMBIGUOUS": 0,
    "ASSERTION": 1,
    "CHALLENGE": 2,
    "COURTESY": 3,
    "DIRECTIVE": 4,
    "QUERY": 5,
    "REJECTION": 6,
    "SALUTATION": 7,
    "STALL": 8,
    "VALIDATION": 9
  },
  "layer_norm_eps": 1e-12,
  "max_position_embeddings": 512,
  "model_type": "bert",
  "num_attention_heads": 2,
  "num_hidden_layers": 2,
  "pad_token_id": 0,
  "problem_type": "single_label_classification",
  "tie_word_embeddings": true,
  "transformers_version": "5.0.0",
  "type_vocab_size": 2,
  "use_cache": false,
  "vocab_size": 30522
}