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40_langdetect_v01

Text Classification
Transformers
PyTorch
xlm-roberta
Inference Endpoints
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1
40_langdetect_v01
File size: 2,034 Bytes 
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{
  "_name_or_path": "xlm-roberta-base",
  "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": 768,
  "id2label": {
    "0": "bg",
    "1": "hr",
    "2": "cs",
    "3": "da",
    "4": "nl",
    "5": "en",
    "6": "et",
    "7": "fi",
    "8": "fr",
    "9": "de",
    "10": "el",
    "11": "hu",
    "12": "it",
    "13": "lv",
    "14": "lt",
    "15": "mt",
    "16": "no",
    "17": "pl",
    "18": "pt",
    "19": "ro",
    "20": "sk",
    "21": "sl",
    "22": "es",
    "23": "sv",
    "24": "ru",
    "25": "tr",
    "26": "eu",
    "27": "ca",
    "28": "sq",
    "29": "se",
    "30": "uk",
    "31": "ar",
    "32": "zh",
    "33": "he",
    "34": "mhd",
    "35": "la",
    "36": "gml",
    "37": "fro",
    "38": "chu",
    "39": "fnhd",
    "40": "grc"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "ar": 31,
    "bg": 0,
    "ca": 27,
    "chu": 38,
    "cs": 2,
    "da": 3,
    "de": 9,
    "el": 10,
    "en": 5,
    "es": 22,
    "et": 6,
    "eu": 26,
    "fi": 7,
    "fnhd": 39,
    "fr": 8,
    "fro": 37,
    "gml": 36,
    "grc": 40,
    "he": 33,
    "hr": 1,
    "hu": 11,
    "it": 12,
    "la": 35,
    "lt": 14,
    "lv": 13,
    "mhd": 34,
    "mt": 15,
    "nl": 4,
    "no": 16,
    "pl": 17,
    "pt": 18,
    "ro": 19,
    "ru": 24,
    "se": 29,
    "sk": 20,
    "sl": 21,
    "sq": 28,
    "sv": 23,
    "tr": 25,
    "uk": 30,
    "zh": 32
  },
  "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",
  "problem_type": "single_label_classification",
  "torch_dtype": "float32",
  "transformers_version": "4.24.0",
  "type_vocab_size": 1,
  "use_cache": true,
  "vocab_size": 250002
}