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rubert-base-emotion-russian-cedr-m7

Text Classification
Transformers
PyTorch
Safetensors
bert
Inference Endpoints
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rubert-base-emotion-russian-cedr-m7
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{
  "_name_or_path": "Aniemore/rubert-base-emotion-russian-cedr-m7",
  "architectures": [
    "BertForSequenceClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "classifier_dropout": null,
  "directionality": "bidi",
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "anger",
    "1": "disgust",
    "2": "enthusiasm",
    "3": "fear",
    "4": "happiness",
    "5": "neutral",
    "6": "sadness"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "anger": 0,
    "disgust": 1,
    "enthusiasm": 2,
    "fear": 3,
    "happiness": 4,
    "neutral": 5,
    "sadness": 6
  },
  "layer_norm_eps": 1e-12,
  "max_position_embeddings": 512,
  "model_type": "bert",
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "output_past": true,
  "pad_token_id": 0,
  "pooler_fc_size": 768,
  "pooler_num_attention_heads": 12,
  "pooler_num_fc_layers": 3,
  "pooler_size_per_head": 128,
  "pooler_type": "first_token_transform",
  "position_embedding_type": "absolute",
  "problem_type": "multi_label_classification",
  "torch_dtype": "float32",
  "transformers_version": "4.25.1",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 119547
}