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bhadresh-savani
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distilbert-base-uncased-go-emotion

Text Classification
Transformers
PyTorch
English
distilbert
go-emotion
Inference Endpoints
Model card Files Community
1
distilbert-base-uncased-go-emotion
File size: 1,834 Bytes 
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{
  "_name_or_path": "distilbert-base-uncased",
  "activation": "gelu",
  "architectures": [
    "DistilBertForMultilabelSequenceClassification"
  ],
  "attention_dropout": 0.1,
  "dim": 768,
  "dropout": 0.1,
  "hidden_dim": 3072,
  "id2label": [
    {
      "0": "admiration",
      "1": "amusement",
      "10": "disapproval",
      "11": "disgust",
      "12": "embarrassment",
      "13": "excitement",
      "14": "fear",
      "15": "gratitude",
      "16": "grief",
      "17": "joy",
      "18": "love",
      "19": "nervousness",
      "2": "anger",
      "20": "optimism",
      "21": "pride",
      "22": "realization",
      "23": "relief",
      "24": "remorse",
      "25": "sadness",
      "26": "surprise",
      "27": "neutral",
      "3": "annoyance",
      "4": "approval",
      "5": "caring",
      "6": "confusion",
      "7": "curiosity",
      "8": "desire",
      "9": "disappointment"
    }
  ],
  "initializer_range": 0.02,
  "label2id": {
    "admiration": 0,
    "amusement": 1,
    "anger": 2,
    "annoyance": 3,
    "approval": 4,
    "caring": 5,
    "confusion": 6,
    "curiosity": 7,
    "desire": 8,
    "disappointment": 9,
    "disapproval": 10,
    "disgust": 11,
    "embarrassment": 12,
    "excitement": 13,
    "fear": 14,
    "gratitude": 15,
    "grief": 16,
    "joy": 17,
    "love": 18,
    "nervousness": 19,
    "neutral": 27,
    "optimism": 20,
    "pride": 21,
    "realization": 22,
    "relief": 23,
    "remorse": 24,
    "sadness": 25,
    "surprise": 26
  },
  "max_position_embeddings": 512,
  "model_type": "distilbert",
  "n_heads": 12,
  "n_layers": 6,
  "pad_token_id": 0,
  "qa_dropout": 0.1,
  "seq_classif_dropout": 0.2,
  "sinusoidal_pos_embds": false,
  "tie_weights_": true,
  "torch_dtype": "float32",
  "transformers_version": "4.12.5",
  "vocab_size": 30522
}