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EmotionDetector

Text Classification Transformers PyTorch funnel Inference Endpoints
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EmotionDetector
File size: 1,889 Bytes 
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{
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  "architectures": [
    "FunnelForSequenceClassification"
  ],
  "attention_dropout": 0.1,
  "attention_type": "relative_shift",
  "block_repeats": [
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    1,
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  ],
  "block_sizes": [
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  ],
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  "d_inner": 3072,
  "d_model": 768,
  "hidden_act": "gelu_new",
  "hidden_dropout": 0.1,
  "id2label": {
    "0": "LABEL_0",
    "1": "LABEL_1",
    "2": "LABEL_2",
    "3": "LABEL_3",
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    "6": "LABEL_6",
    "7": "LABEL_7",
    "8": "LABEL_8",
    "9": "LABEL_9",
    "10": "LABEL_10",
    "11": "LABEL_11",
    "12": "LABEL_12",
    "13": "LABEL_13",
    "14": "LABEL_14",
    "15": "LABEL_15",
    "16": "LABEL_16",
    "17": "LABEL_17",
    "18": "LABEL_18",
    "19": "LABEL_19",
    "20": "LABEL_20",
    "21": "LABEL_21",
    "22": "LABEL_22",
    "23": "LABEL_23",
    "24": "LABEL_24",
    "25": "LABEL_25",
    "26": "LABEL_26"
  },
  "initializer_range": 0.1,
  "initializer_std": null,
  "label2id": {
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    "LABEL_1": 1,
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    "LABEL_5": 5,
    "LABEL_6": 6,
    "LABEL_7": 7,
    "LABEL_8": 8,
    "LABEL_9": 9
  },
  "layer_norm_eps": 1e-09,
  "max_position_embeddings": 512,
  "model_type": "funnel",
  "n_head": 12,
  "num_decoder_layers": 2,
  "pool_q_only": true,
  "pooling_type": "mean",
  "rel_attn_type": "factorized",
  "separate_cls": true,
  "transformers_version": "4.3.2",
  "truncate_seq": true,
  "type_vocab_size": 3,
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}