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mbert-base-finetuned-parsing-ud-japanese-gsd

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PyTorch
bert
canine
pretrained-on-english-language
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mbert-base-finetuned-parsing-ud-japanese-gsd
File size: 2,224 Bytes 
86337d0
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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{
  "_name_or_path": "bert-base-multilingual-cased",
  "architectures": [
    "BertForBiaffineParsing"
  ],
  "attention_probs_dropout_prob": 0.1,
  "classifier_dropout": null,
  "directionality": "bidi",
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
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    "2": "advcl",
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    "24": "list",
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    "26": "nmod",
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    "36": "vocative",
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  "initializer_range": 0.02,
  "intermediate_size": 3072,
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  },
  "layer_norm_eps": 1e-12,
  "max_position_embeddings": 512,
  "model_type": "bert",
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  "pooler_num_attention_heads": 12,
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  "pooler_type": "first_token_transform",
  "position_embedding_type": "absolute",
  "torch_dtype": "float32",
  "transformers_version": "4.17.0",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 119547
}