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character-bert-pt-normal

Transformers PyTorch character_bert Inference Endpoints
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character-bert-pt-normal
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{
  "_name_or_path": "helboukkouri/character-bert",
  "architectures": [
    "CharacterBertModel"
  ],
  "attention_probs_dropout_prob": 0.1,
  "character_embeddings_dim": 16,
  "cnn_activation": "relu",
  "cnn_filters": [
    [
      1,
      32
    ],
    [
      2,
      32
    ],
    [
      3,
      64
    ],
    [
      4,
      128
    ],
    [
      5,
      256
    ],
    [
      6,
      512
    ],
    [
      7,
      1024
    ]
  ],
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "layer_norm_eps": 1e-12,
  "max_position_embeddings": 512,
  "max_word_length": 50,
  "mlm_vocab_size": 100000,
  "model_type": "character_bert",
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "num_highway_layers": 2,
  "tie_word_embeddings": false,
  "transformers_version": "4.7.0.dev0",
  "type_vocab_size": 2,
  "use_cache": true
}