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oddadmix
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dialect-router-v0.2

Text Classification
Transformers
Safetensors
bert
Generated from Trainer
text-embeddings-inference
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xet
 Community
dialect-router-v0.2
File size: 1,245 Bytes
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{
  "_name_or_path": "asafaya/bert-mini-arabic",
  "_num_labels": 2,
  "architectures": [
    "BertForSequenceClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "classifier_dropout": null,
  "gradient_checkpointing": false,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 256,
  "id2label": {
    "0": "ar",
    "1": "bh",
    "2": "dz",
    "3": "eg",
    "4": "en",
    "5": "iq",
    "6": "lb",
    "7": "ly",
    "8": "ma",
    "9": "ps",
    "10": "sa",
    "11": "sd",
    "12": "sy",
    "13": "tn",
    "14": "ye"
  },
  "initializer_range": 0.02,
  "intermediate_size": 1024,
  "label2id": {
    "ar": 0,
    "bh": 1,
    "dz": 2,
    "eg": 3,
    "en": 4,
    "iq": 5,
    "lb": 6,
    "ly": 7,
    "ma": 8,
    "ps": 9,
    "sa": 10,
    "sd": 11,
    "sy": 12,
    "tn": 13,
    "ye": 14
  },
  "layer_norm_eps": 1e-12,
  "max_position_embeddings": 512,
  "model_type": "bert",
  "num_attention_heads": 4,
  "num_hidden_layers": 4,
  "output_past": true,
  "pad_token_id": 0,
  "position_embedding_type": "absolute",
  "problem_type": "single_label_classification",
  "torch_dtype": "float32",
  "transformers_version": "4.46.3",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 32000
}