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Nasilsin_AI

Text Classification
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Safetensors
bert
text-embeddings-inference
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Nasilsin_AI
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{
  "architectures": [
    "BertForSequenceClassification"
  ],
  "attention_probs_dropout_prob": 0.3,
  "classifier_dropout": null,
  "dtype": "float32",
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.3,
  "hidden_size": 768,
  "id2label": {
    "0": "heyecanl\u0131",
    "1": "i\u011frenmi\u015f",
    "2": "korkmu\u015f",
    "3": "k\u0131zg\u0131n",
    "4": "mutlu",
    "5": "n\u00f6tr",
    "6": "\u00fczg\u00fcn",
    "7": "\u015fa\u015fk\u0131n"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "heyecanl\u0131": 0,
    "i\u011frenmi\u015f": 1,
    "korkmu\u015f": 2,
    "k\u0131zg\u0131n": 3,
    "mutlu": 4,
    "n\u00f6tr": 5,
    "\u00fczg\u00fcn": 6,
    "\u015fa\u015fk\u0131n": 7
  },
  "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": "single_label_classification",
  "transformers_version": "4.57.3",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 32000
}