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bert-base-arabic-camelbert-msa-pos-msa

Token Classification
Transformers
PyTorch
TensorFlow
Arabic
bert
Inference Endpoints
Model card Files Community
1
bert-base-arabic-camelbert-msa-pos-msa
File size: 1,868 Bytes 
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{ 
  "_name_or_path": "bert-base-arabic-camelbert-msa-pos-msa/",
  "architectures": [
    "BertForTokenClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "gradient_checkpointing": false,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "abbrev",
    "1": "adj",
    "2": "adj_comp",
    "3": "adj_num",
    "4": "adv",
    "5": "adv_interrog",
    "6": "adv_rel",
    "7": "conj",
    "8": "conj_sub",
    "9": "digit",
    "10": "interj",
    "11": "noun",
    "12": "noun_num",
    "13": "noun_prop",
    "14": "noun_quant",
    "15": "part",
    "16": "part_det",
    "17": "part_focus",
    "18": "part_fut",
    "19": "part_interrog",
    "20": "part_neg",
    "21": "part_restrict",
    "22": "part_verb",
    "23": "part_voc",
    "24": "prep",
    "25": "pron",
    "26": "pron_dem",
    "27": "pron_interrog",
    "28": "pron_rel",
    "29": "punc",
    "30": "verb",
    "31": "verb_pseudo"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "abbrev": 0,
    "adj": 1,
    "adj_comp": 2,
    "adj_num": 3,
    "adv": 4,
    "adv_interrog": 5,
    "adv_rel": 6,
    "conj": 7,
    "conj_sub": 8,
    "digit": 9,
    "interj": 10,
    "noun": 11,
    "noun_num": 12,
    "noun_prop": 13,
    "noun_quant": 14,
    "part": 15,
    "part_det": 16,
    "part_focus": 17,
    "part_fut": 18,
    "part_interrog": 19,
    "part_neg": 20,
    "part_restrict": 21,
    "part_verb": 22,
    "part_voc": 23,
    "prep": 24,
    "pron": 25,
    "pron_dem": 26,
    "pron_interrog": 27,
    "pron_rel": 28,
    "punc": 29,
    "verb": 30,
    "verb_pseudo": 31
  },
  "layer_norm_eps": 1e-12,
  "max_position_embeddings": 512,
  "model_type": "bert",
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "pad_token_id": 0,
  "type_vocab_size": 2,
  "vocab_size": 30000
}