Add model

config.json

@@ -0,0 +1,207 @@
+{
+  "_name_or_path": "asahi417/tner-xlm-roberta-base-uncased-all-english",
+  "architectures": [
+    "XLMRobertaForTokenClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 0,
+  "classifier_dropout": null,
+  "eos_token_id": 2,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "B-organization",
+    "1": "O",
+    "2": "B-other",
+    "3": "B-person",
+    "4": "I-person",
+    "5": "B-location",
+    "6": "I-organization",
+    "7": "I-other",
+    "8": "I-location",
+    "9": "B-cardinal number",
+    "10": "B-date",
+    "11": "I-date",
+    "12": "B-group",
+    "13": "B-geopolitical area",
+    "14": "I-geopolitical area",
+    "15": "B-law",
+    "16": "I-law",
+    "17": "B-percent",
+    "18": "I-percent",
+    "19": "B-ordinal number",
+    "20": "B-money",
+    "21": "I-money",
+    "22": "B-work of art",
+    "23": "I-work of art",
+    "24": "B-facility",
+    "25": "B-time",
+    "26": "I-cardinal number",
+    "27": "B-quantity",
+    "28": "I-quantity",
+    "29": "I-group",
+    "30": "B-product",
+    "31": "I-time",
+    "32": "B-event",
+    "33": "I-event",
+    "34": "I-facility",
+    "35": "B-language",
+    "36": "I-product",
+    "37": "I-ordinal number",
+    "38": "I-language",
+    "39": "B-actor",
+    "40": "I-actor",
+    "41": "B-plot",
+    "42": "I-plot",
+    "43": "B-opinion",
+    "44": "I-opinion",
+    "45": "B-award",
+    "46": "I-award",
+    "47": "B-genre",
+    "48": "B-origin",
+    "49": "I-origin",
+    "50": "B-director",
+    "51": "I-director",
+    "52": "I-genre",
+    "53": "B-soundtrack",
+    "54": "I-soundtrack",
+    "55": "B-relationship",
+    "56": "I-relationship",
+    "57": "B-character name",
+    "58": "I-character name",
+    "59": "B-quote",
+    "60": "I-quote",
+    "61": "B-rating",
+    "62": "I-rating",
+    "63": "B-amenity",
+    "64": "I-amenity",
+    "65": "B-restaurant",
+    "66": "I-restaurant",
+    "67": "B-dish",
+    "68": "I-dish",
+    "69": "B-cuisine",
+    "70": "I-cuisine",
+    "71": "B-chemical",
+    "72": "B-disease",
+    "73": "I-disease",
+    "74": "I-chemical",
+    "75": "B-dna",
+    "76": "I-dna",
+    "77": "B-protein",
+    "78": "I-protein",
+    "79": "B-cell type",
+    "80": "I-cell type",
+    "81": "B-cell line",
+    "82": "I-cell line",
+    "83": "B-rna",
+    "84": "I-rna",
+    "85": "B-corporation",
+    "86": "I-corporation"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "B-actor": 39,
+    "B-amenity": 63,
+    "B-award": 45,
+    "B-cardinal number": 9,
+    "B-cell line": 81,
+    "B-cell type": 79,
+    "B-character name": 57,
+    "B-chemical": 71,
+    "B-corporation": 85,
+    "B-cuisine": 69,
+    "B-date": 10,
+    "B-director": 50,
+    "B-disease": 72,
+    "B-dish": 67,
+    "B-dna": 75,
+    "B-event": 32,
+    "B-facility": 24,
+    "B-genre": 47,
+    "B-geopolitical area": 13,
+    "B-group": 12,
+    "B-language": 35,
+    "B-law": 15,
+    "B-location": 5,
+    "B-money": 20,
+    "B-opinion": 43,
+    "B-ordinal number": 19,
+    "B-organization": 0,
+    "B-origin": 48,
+    "B-other": 2,
+    "B-percent": 17,
+    "B-person": 3,
+    "B-plot": 41,
+    "B-product": 30,
+    "B-protein": 77,
+    "B-quantity": 27,
+    "B-quote": 59,
+    "B-rating": 61,
+    "B-relationship": 55,
+    "B-restaurant": 65,
+    "B-rna": 83,
+    "B-soundtrack": 53,
+    "B-time": 25,
+    "B-work of art": 22,
+    "I-actor": 40,
+    "I-amenity": 64,
+    "I-award": 46,
+    "I-cardinal number": 26,
+    "I-cell line": 82,
+    "I-cell type": 80,
+    "I-character name": 58,
+    "I-chemical": 74,
+    "I-corporation": 86,
+    "I-cuisine": 70,
+    "I-date": 11,
+    "I-director": 51,
+    "I-disease": 73,
+    "I-dish": 68,
+    "I-dna": 76,
+    "I-event": 33,
+    "I-facility": 34,
+    "I-genre": 52,
+    "I-geopolitical area": 14,
+    "I-group": 29,
+    "I-language": 38,
+    "I-law": 16,
+    "I-location": 8,
+    "I-money": 21,
+    "I-opinion": 44,
+    "I-ordinal number": 37,
+    "I-organization": 6,
+    "I-origin": 49,
+    "I-other": 7,
+    "I-percent": 18,
+    "I-person": 4,
+    "I-plot": 42,
+    "I-product": 36,
+    "I-protein": 78,
+    "I-quantity": 28,
+    "I-quote": 60,
+    "I-rating": 62,
+    "I-relationship": 56,
+    "I-restaurant": 66,
+    "I-rna": 84,
+    "I-soundtrack": 54,
+    "I-time": 31,
+    "I-work of art": 23,
+    "O": 1
+  },
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 514,
+  "model_type": "xlm-roberta",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "output_past": true,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "torch_dtype": "float32",
+  "transformers_version": "4.32.0",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 250002
+}

pytorch_model.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b52cbe3a1a495f039173b70b7e56c40d2e832643787649c6530aec76508a0257
+size 1110148137