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xlm-roberta-en-ru-emoji-v2

Text Classification Transformers PyTorch Safetensors xlm-roberta generated_from_trainer Inference Endpoints
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xlm-roberta-en-ru-emoji-v2
File size: 2,466 Bytes 
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{
  "_name_or_path": "AlekseyDorkin/xlm-roberta-en-ru-emoji-v2",
  "architectures": [
    "XLMRobertaForSequenceClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "bos_token_id": 0,
  "classifier_dropout": null,
  "eos_token_id": 2,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 1024,
  "id2label": {
    "0": "\u2764",
    "1": "\ud83d\ude0d",
    "10": "\ud83d\udcf7",
    "11": "\ud83c\uddfa\ud83c\uddf8",
    "12": "\u2600",
    "13": "\ud83d\udc9c",
    "14": "\ud83d\ude09",
    "15": "\ud83d\udcaf",
    "16": "\ud83d\ude01",
    "17": "\ud83c\udf84",
    "18": "\ud83d\udcf8",
    "19": "\ud83d\ude1c",
    "2": "\ud83d\ude02",
    "20": "\u2639\ufe0f",
    "21": "\ud83d\ude2d",
    "22": "\ud83d\ude14",
    "23": "\ud83d\ude21",
    "24": "\ud83d\udca2",
    "25": "\ud83d\ude24",
    "26": "\ud83d\ude33",
    "27": "\ud83d\ude43",
    "28": "\ud83d\ude29",
    "29": "\ud83d\ude20",
    "3": "\ud83d\udc95",
    "30": "\ud83d\ude48",
    "31": "\ud83d\ude44",
    "4": "\ud83d\udd25",
    "5": "\ud83d\ude0a",
    "6": "\ud83d\ude0e",
    "7": "\u2728",
    "8": "\ud83d\udc99",
    "9": "\ud83d\ude18"
  },
  "initializer_range": 0.02,
  "intermediate_size": 4096,
  "label2id": {
    "\u2600": "12",
    "\u2639\ufe0f": "20",
    "\u2728": "7",
    "\u2764": "0",
    "\ud83c\uddfa\ud83c\uddf8": "11",
    "\ud83c\udf84": "17",
    "\ud83d\udc95": "3",
    "\ud83d\udc99": "8",
    "\ud83d\udc9c": "13",
    "\ud83d\udca2": "24",
    "\ud83d\udcaf": "15",
    "\ud83d\udcf7": "10",
    "\ud83d\udcf8": "18",
    "\ud83d\udd25": "4",
    "\ud83d\ude01": "16",
    "\ud83d\ude02": "2",
    "\ud83d\ude09": "14",
    "\ud83d\ude0a": "5",
    "\ud83d\ude0d": "1",
    "\ud83d\ude0e": "6",
    "\ud83d\ude14": "22",
    "\ud83d\ude18": "9",
    "\ud83d\ude1c": "19",
    "\ud83d\ude20": "29",
    "\ud83d\ude21": "23",
    "\ud83d\ude24": "25",
    "\ud83d\ude29": "28",
    "\ud83d\ude2d": "21",
    "\ud83d\ude33": "26",
    "\ud83d\ude43": "27",
    "\ud83d\ude44": "31",
    "\ud83d\ude48": "30"
  },
  "layer_norm_eps": 1e-05,
  "max_position_embeddings": 514,
  "model_type": "xlm-roberta",
  "num_attention_heads": 16,
  "num_hidden_layers": 24,
  "output_past": true,
  "pad_token_id": 1,
  "position_embedding_type": "absolute",
  "problem_type": "single_label_classification",
  "torch_dtype": "float32",
  "transformers_version": "4.12.5",
  "type_vocab_size": 1,
  "use_cache": true,
  "vocab_size": 35054
}