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SignTagger

Token Classification
Transformers
PyTorch
bert
Inference Endpoints
Model card Files Community
1
SignTagger
File size: 4,436 Bytes 
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{
  "_name_or_path": "/content/tmp/test-richard_bert_base_uncased",
  "architectures": [
    "BertForTokenClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "directionality": "bidi",
  "finetuning_task": "ner",
  "gradient_checkpointing": false,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 1024,
  "id2label": {
    "0": "M:N_CCV",
    "1": "M:N_CIN",
    "2": "M:N_CLA",
    "3": "M:N_CLAdv",
    "4": "M:N_CLN",
    "5": "M:N_CLP",
    "6": "M:N_CLQ",
    "7": "M:N_CLV",
    "8": "M:N_CMA1",
    "9": "M:N_CMAdv",
    "10": "M:N_CMN1",
    "11": "M:N_CMN2",
    "12": "M:N_CMN3",
    "13": "M:N_CMN4",
    "14": "M:N_CMP",
    "15": "M:N_CMP2",
    "16": "M:N_CMV1",
    "17": "M:N_CMV2",
    "18": "M:N_CMV3",
    "19": "M:N_COMBINATORY",
    "20": "M:N_CPA",
    "21": "M:N_ESAdvP",
    "22": "M:N_ESCCV",
    "23": "M:N_ESCM",
    "24": "M:N_ESMA",
    "25": "M:N_ESMAdvP",
    "26": "M:N_ESMI",
    "27": "M:N_ESMN",
    "28": "M:N_ESMP",
    "29": "M:N_ESMV",
    "30": "M:N_HELP",
    "31": "M:N_SPECIAL",
    "32": "M:N_SSCCV",
    "33": "M:N_SSCM",
    "34": "M:N_SSMA",
    "35": "M:N_SSMAdvP",
    "36": "M:N_SSMI",
    "37": "M:N_SSMN",
    "38": "M:N_SSMP",
    "39": "M:N_SSMV",
    "40": "M:N_STQ",
    "41": "M:N_V",
    "42": "M:N_nan",
    "43": "M:Y_CCV",
    "44": "M:Y_CIN",
    "45": "M:Y_CLA",
    "46": "M:Y_CLAdv",
    "47": "M:Y_CLN",
    "48": "M:Y_CLP",
    "49": "M:Y_CLQ",
    "50": "M:Y_CLV",
    "51": "M:Y_CMA1",
    "52": "M:Y_CMAdv",
    "53": "M:Y_CMN1",
    "54": "M:Y_CMN2",
    "55": "M:Y_CMN4",
    "56": "M:Y_CMP",
    "57": "M:Y_CMP2",
    "58": "M:Y_CMV1",
    "59": "M:Y_CMV2",
    "60": "M:Y_CMV3",
    "61": "M:Y_COMBINATORY",
    "62": "M:Y_CPA",
    "63": "M:Y_ESAdvP",
    "64": "M:Y_ESCCV",
    "65": "M:Y_ESCM",
    "66": "M:Y_ESMA",
    "67": "M:Y_ESMAdvP",
    "68": "M:Y_ESMI",
    "69": "M:Y_ESMN",
    "70": "M:Y_ESMP",
    "71": "M:Y_ESMV",
    "72": "M:Y_HELP",
    "73": "M:Y_SPECIAL",
    "74": "M:Y_SSCCV",
    "75": "M:Y_SSCM",
    "76": "M:Y_SSMA",
    "77": "M:Y_SSMAdvP",
    "78": "M:Y_SSMI",
    "79": "M:Y_SSMN",
    "80": "M:Y_SSMP",
    "81": "M:Y_SSMV",
    "82": "M:Y_STQ"
  },
  "initializer_range": 0.02,
  "intermediate_size": 4096,
  "label2id": {
    "M:N_CCV": 0,
    "M:N_CIN": 1,
    "M:N_CLA": 2,
    "M:N_CLAdv": 3,
    "M:N_CLN": 4,
    "M:N_CLP": 5,
    "M:N_CLQ": 6,
    "M:N_CLV": 7,
    "M:N_CMA1": 8,
    "M:N_CMAdv": 9,
    "M:N_CMN1": 10,
    "M:N_CMN2": 11,
    "M:N_CMN3": 12,
    "M:N_CMN4": 13,
    "M:N_CMP": 14,
    "M:N_CMP2": 15,
    "M:N_CMV1": 16,
    "M:N_CMV2": 17,
    "M:N_CMV3": 18,
    "M:N_COMBINATORY": 19,
    "M:N_CPA": 20,
    "M:N_ESAdvP": 21,
    "M:N_ESCCV": 22,
    "M:N_ESCM": 23,
    "M:N_ESMA": 24,
    "M:N_ESMAdvP": 25,
    "M:N_ESMI": 26,
    "M:N_ESMN": 27,
    "M:N_ESMP": 28,
    "M:N_ESMV": 29,
    "M:N_HELP": 30,
    "M:N_SPECIAL": 31,
    "M:N_SSCCV": 32,
    "M:N_SSCM": 33,
    "M:N_SSMA": 34,
    "M:N_SSMAdvP": 35,
    "M:N_SSMI": 36,
    "M:N_SSMN": 37,
    "M:N_SSMP": 38,
    "M:N_SSMV": 39,
    "M:N_STQ": 40,
    "M:N_V": 41,
    "M:N_nan": 42,
    "M:Y_CCV": 43,
    "M:Y_CIN": 44,
    "M:Y_CLA": 45,
    "M:Y_CLAdv": 46,
    "M:Y_CLN": 47,
    "M:Y_CLP": 48,
    "M:Y_CLQ": 49,
    "M:Y_CLV": 50,
    "M:Y_CMA1": 51,
    "M:Y_CMAdv": 52,
    "M:Y_CMN1": 53,
    "M:Y_CMN2": 54,
    "M:Y_CMN4": 55,
    "M:Y_CMP": 56,
    "M:Y_CMP2": 57,
    "M:Y_CMV1": 58,
    "M:Y_CMV2": 59,
    "M:Y_CMV3": 60,
    "M:Y_COMBINATORY": 61,
    "M:Y_CPA": 62,
    "M:Y_ESAdvP": 63,
    "M:Y_ESCCV": 64,
    "M:Y_ESCM": 65,
    "M:Y_ESMA": 66,
    "M:Y_ESMAdvP": 67,
    "M:Y_ESMI": 68,
    "M:Y_ESMN": 69,
    "M:Y_ESMP": 70,
    "M:Y_ESMV": 71,
    "M:Y_HELP": 72,
    "M:Y_SPECIAL": 73,
    "M:Y_SSCCV": 74,
    "M:Y_SSCM": 75,
    "M:Y_SSMA": 76,
    "M:Y_SSMAdvP": 77,
    "M:Y_SSMI": 78,
    "M:Y_SSMN": 79,
    "M:Y_SSMP": 80,
    "M:Y_SSMV": 81,
    "M:Y_STQ": 82
  },
  "layer_norm_eps": 1e-12,
  "max_position_embeddings": 512,
  "model_type": "bert",
  "num_attention_heads": 16,
  "num_hidden_layers": 24,
  "pad_token_id": 0,
  "pooler_fc_size": 768,
  "pooler_num_attention_heads": 12,
  "pooler_num_fc_layers": 3,
  "pooler_size_per_head": 128,
  "pooler_type": "first_token_transform",
  "position_embedding_type": "absolute",
  "torch_dtype": "float32",
  "transformers_version": "4.9.2",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 28996
}