add model

config.json

@@ -0,0 +1,202 @@
+{
+  "_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
+}

pytorch_model.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:20d29ae5822f6da73266e8e12a1ac8b5ebb2375ade01a82adc39b3eb01be52bb
+size 1330614385