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pranaydeeps
/
lettuce_pos_fr_mono

Token Classification
Transformers
PyTorch
camembert
Generated from Trainer
Inference Endpoints
Model card Files Community
lettuce_pos_fr_mono
File size: 2,203 Bytes 
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{
  "_name_or_path": "almanach/camembert-base",
  "architectures": [
    "CamembertForTokenClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "bos_token_id": 5,
  "classifier_dropout": null,
  "eos_token_id": 6,
  "finetuning_task": "pos",
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "VER:infi",
    "1": "KON",
    "2": "VER:",
    "3": "VER:impf",
    "4": "VER:cond",
    "5": "PRO:IND",
    "6": "ABR",
    "7": "DET:POS",
    "8": "PRP:det",
    "9": "FW",
    "10": "PRP",
    "11": "VER:pper",
    "12": "PRO:DEM",
    "13": "PRO:REL",
    "14": "VER:subi",
    "15": "SYM",
    "16": "VER:impe",
    "17": "PRO:POS",
    "18": "#",
    "19": "PRO",
    "20": "futu",
    "21": "DET:art",
    "22": "PRO:PER",
    "23": "NOM",
    "24": "VER:subp",
    "25": "INT",
    "26": "VER:futu",
    "27": "NUM",
    "28": "NAM",
    "29": "@",
    "30": "ADV",
    "31": "VER:ppre",
    "32": "VER:pres",
    "33": "PUN:cit",
    "34": "PUN",
    "35": "DET:ART",
    "36": "VER:simp",
    "37": "SENT",
    "38": "ADJ"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "#": 18,
    "@": 29,
    "ABR": 6,
    "ADJ": 38,
    "ADV": 30,
    "DET:ART": 35,
    "DET:POS": 7,
    "DET:art": 21,
    "FW": 9,
    "INT": 25,
    "KON": 1,
    "NAM": 28,
    "NOM": 23,
    "NUM": 27,
    "PRO": 19,
    "PRO:DEM": 12,
    "PRO:IND": 5,
    "PRO:PER": 22,
    "PRO:POS": 17,
    "PRO:REL": 13,
    "PRP": 10,
    "PRP:det": 8,
    "PUN": 34,
    "PUN:cit": 33,
    "SENT": 37,
    "SYM": 15,
    "VER:": 2,
    "VER:cond": 4,
    "VER:futu": 26,
    "VER:impe": 16,
    "VER:impf": 3,
    "VER:infi": 0,
    "VER:pper": 11,
    "VER:ppre": 31,
    "VER:pres": 32,
    "VER:simp": 36,
    "VER:subi": 14,
    "VER:subp": 24,
    "futu": 20
  },
  "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,
  "position_embedding_type": "absolute",
  "torch_dtype": "float32",
  "transformers_version": "4.25.1",
  "type_vocab_size": 1,
  "use_cache": true,
  "vocab_size": 32005
}