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TypicaAI
/
magbert-ner

Token Classification
Transformers
PyTorch
French
camembert
Inference Endpoints
Model card Files Community
1
magbert-ner
File size: 1,642 Bytes 
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{
  "architectures": [
    "CamembertForTokenClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "bos_token_id": 5,
  "eos_token_id": 6,
  "gradient_checkpointing": false,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "I-PERSON",
    "1": "B-PERSON",
    "2": "I-MONEY",
    "3": "O",
    "4": "I-LOC",
    "5": "B-ORG",
    "6": "I-FAC",
    "7": "I-TIME",
    "8": "B-PRODUCT",
    "9": "I-DATE",
    "10": "I-PERCENT",
    "11": "B-PERCENT",
    "12": "B-EVENT",
    "13": "I-EVENT",
    "14": "I-PRODUCT",
    "15": "B-FAC",
    "16": "B-LOC",
    "17": "B-DATE",
    "18": "B-NORP",
    "19": "B-TIME",
    "20": "B-GPE",
    "21": "I-NORP",
    "22": "B-LAW",
    "23": "B-MONEY",
    "24": "I-LAW",
    "25": "I-ORG",
    "26": "I-GPE",
    "27": "PAD"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "B-DATE": 17,
    "B-EVENT": 12,
    "B-FAC": 15,
    "B-GPE": 20,
    "B-LAW": 22,
    "B-LOC": 16,
    "B-MONEY": 23,
    "B-NORP": 18,
    "B-ORG": 5,
    "B-PERCENT": 11,
    "B-PERSON": 1,
    "B-PRODUCT": 8,
    "B-TIME": 19,
    "I-DATE": 9,
    "I-EVENT": 13,
    "I-FAC": 6,
    "I-GPE": 26,
    "I-LAW": 24,
    "I-LOC": 4,
    "I-MONEY": 2,
    "I-NORP": 21,
    "I-ORG": 25,
    "I-PERCENT": 10,
    "I-PERSON": 0,
    "I-PRODUCT": 14,
    "I-TIME": 7,
    "O": 3,
    "PAD": 27
  },
  "layer_norm_eps": 1e-05,
  "max_position_embeddings": 514,
  "model_type": "camembert",
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "output_past": true,
  "pad_token_id": 1,
  "type_vocab_size": 1,
  "vocab_size": 32005
}