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harshith20
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Emotion_predictor

Text Classification
Transformers
PyTorch
mobilebert
Inference Endpoints
Model card Files Community
2
Emotion_predictor
File size: 1,216 Bytes 
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{
  "_name_or_path": "cambridgeltl/sst_mobilebert-uncased",
  "architectures": [
    "MobileBertForSequenceClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "classifier_activation": true,
  "classifier_dropout": null,
  "embedding_size": 128,
  "hidden_act": "relu",
  "hidden_dropout_prob": 0.0,
  "hidden_size": 512,
  "id2label": {
    "0": "sadness",
    "1": "joy",
    "2": "love",
    "3": "anger",
    "4": "fear",
    "5": "surprise"
  },
  "initializer_range": 0.02,
  "intermediate_size": 512,
  "intra_bottleneck_size": 128,
  "key_query_shared_bottleneck": true,
  "label2id": {
    "anger": 3,
    "fear": 4,
    "joy": 1,
    "love": 2,
    "sadness": 0,
    "surprise": 5
  },
  "layer_norm_eps": 1e-12,
  "max_position_embeddings": 512,
  "model_type": "mobilebert",
  "normalization_type": "no_norm",
  "num_attention_heads": 4,
  "num_feedforward_networks": 4,
  "num_hidden_layers": 24,
  "pad_token_id": 0,
  "problem_type": "single_label_classification",
  "torch_dtype": "float32",
  "transformers_version": "4.20.1",
  "trigram_input": true,
  "true_hidden_size": 128,
  "type_vocab_size": 2,
  "use_bottleneck": true,
  "use_bottleneck_attention": false,
  "vocab_size": 30522
}