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kangXn
/
enmr-8000-st

Text Classification
Transformers
Safetensors
xmod
Inference Endpoints
Model card Files Community
enmr-8000-st
File size: 2,052 Bytes 
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{
  "_name_or_path": "facebook/xmod-base",
  "adapter_layer_norm": false,
  "adapter_reduction_factor": 2,
  "adapter_reuse_layer_norm": true,
  "architectures": [
    "XmodForSequenceClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "bos_token_id": 0,
  "classifier_dropout": null,
  "default_language": "mr_IN",
  "eos_token_id": 2,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "LABEL_0"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "LABEL_0": 0
  },
  "languages": [
    "en_XX",
    "id_ID",
    "vi_VN",
    "ru_RU",
    "fa_IR",
    "sv_SE",
    "ja_XX",
    "fr_XX",
    "de_DE",
    "ro_RO",
    "ko_KR",
    "hu_HU",
    "es_XX",
    "fi_FI",
    "uk_UA",
    "da_DK",
    "pt_XX",
    "no_XX",
    "th_TH",
    "pl_PL",
    "bg_BG",
    "nl_XX",
    "zh_CN",
    "he_IL",
    "el_GR",
    "it_IT",
    "sk_SK",
    "hr_HR",
    "tr_TR",
    "ar_AR",
    "cs_CZ",
    "lt_LT",
    "hi_IN",
    "zh_TW",
    "ca_ES",
    "ms_MY",
    "sl_SI",
    "lv_LV",
    "ta_IN",
    "bn_IN",
    "et_EE",
    "az_AZ",
    "sq_AL",
    "sr_RS",
    "kk_KZ",
    "ka_GE",
    "tl_XX",
    "ur_PK",
    "is_IS",
    "hy_AM",
    "ml_IN",
    "mk_MK",
    "be_BY",
    "la_VA",
    "te_IN",
    "eu_ES",
    "gl_ES",
    "mn_MN",
    "kn_IN",
    "ne_NP",
    "sw_KE",
    "si_LK",
    "mr_IN",
    "af_ZA",
    "gu_IN",
    "cy_GB",
    "eo_EO",
    "km_KH",
    "ky_KG",
    "uz_UZ",
    "ps_AF",
    "pa_IN",
    "ga_IE",
    "ha_NG",
    "am_ET",
    "lo_LA",
    "ku_TR",
    "so_SO",
    "my_MM",
    "or_IN",
    "sa_IN"
  ],
  "layer_norm_eps": 1e-05,
  "ln_before_adapter": true,
  "max_position_embeddings": 514,
  "model_type": "xmod",
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "pad_token_id": 1,
  "position_embedding_type": "absolute",
  "pre_norm": false,
  "problem_type": "regression",
  "torch_dtype": "float32",
  "transformers_version": "4.38.2",
  "type_vocab_size": 1,
  "use_cache": true,
  "vocab_size": 250002
}