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BERT-Emotions-Classifier

Text Classification
Transformers
PyTorch
English
bert
Inference Endpoints
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BERT-Emotions-Classifier
File size: 1,176 Bytes 
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{
  "_name_or_path": "bert-base-uncased",
  "architectures": [
    "BertForSequenceClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "classifier_dropout": null,
  "gradient_checkpointing": false,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "anger",
    "1": "anticipation",
    "2": "disgust",
    "3": "fear",
    "4": "joy",
    "5": "love",
    "6": "optimism",
    "7": "pessimism",
    "8": "sadness",
    "9": "surprise",
    "10": "trust"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "anger": 0,
    "anticipation": 1,
    "disgust": 2,
    "fear": 3,
    "joy": 4,
    "love": 5,
    "optimism": 6,
    "pessimism": 7,
    "sadness": 8,
    "surprise": 9,
    "trust": 10
  },
  "layer_norm_eps": 1e-12,
  "max_position_embeddings": 512,
  "model_type": "bert",
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "pad_token_id": 0,
  "position_embedding_type": "absolute",
  "problem_type": "multi_label_classification",
  "torch_dtype": "float32",
  "transformers_version": "4.33.0",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 30522
}