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cmi-intent-classifier-v2

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cmi-intent-classifier-v2
File size: 1,365 Bytes 
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{
  "_name_or_path": "xhub/cmi-intent-classifier",
  "architectures": [
    "BertForSequenceClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "classifier_dropout": null,
  "cls_token": "[CLS]",
  "do_lower_case": true,
  "gradient_checkpointing": false,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "follow_up_request",
    "1": "other",
    "2": "receipt_paper_roll_request",
    "3": "statement_request",
    "4": "talk_to_human",
    "5": "terminal_breakdown",
    "6": "terminal_request"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "follow_up_request": 0,
    "other": 1,
    "receipt_paper_roll_request": 2,
    "statement_request": 3,
    "talk_to_human": 4,
    "terminal_breakdown": 5,
    "terminal_request": 6
  },
  "layer_norm_eps": 1e-12,
  "mask_token": "[MASK]",
  "max_len": 128,
  "max_position_embeddings": 512,
  "model_max_length": 128,
  "model_type": "bert",
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "pad_token": "[PAD]",
  "pad_token_id": 0,
  "position_embedding_type": "absolute",
  "problem_type": "single_label_classification",
  "sep_token": "[SEP]",
  "torch_dtype": "float32",
  "transformers_version": "4.39.0.dev0",
  "type_vocab_size": 2,
  "unk_token": "[UNK]",
  "use_cache": true,
  "vocab_size": 80000
}