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5CD-AI
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viso-twhin-bert-large

Fill-Mask
Transformers
Safetensors
bert
Inference Endpoints
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1
viso-twhin-bert-large
File size: 1,313 Bytes 
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{
  "_name_or_path": "5CD-AI/viso-twhin-bert-large",
  "architectures": [
    "BertForMaskedLM"
  ],
  "attention_probs_dropout_prob": 0.1,
  "classifier_dropout": null,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 1024,
  "initializer_range": 0.02,
  "intermediate_size": 4096,
  "layer_norm_eps": 1e-12,
  "max_position_embeddings": 512,
  "model_type": "bert",
  "num_attention_heads": 16,
  "num_hidden_layers": 24,
  "pad_token_id": 0,
  "position_embedding_type": "relative_key",
  "torch_dtype": "float32",
  "transformers_version": "4.38.2",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 20002,
  "vocabtrimmer": {
    "mining_config": {
      "dataset": "vocabtrimmer/mc4_validation",
      "dataset_column": "text",
      "dataset_name": "en",
      "dataset_split": "validation",
      "language": "en",
      "min_frequency": 2,
      "target_vocab_size": 20000
    },
    "stats": {
      "compression_rate_embedding": 8.000735994112047,
      "compression_rate_full": 58.03015244164301,
      "parameter_size_embedding/raw": 256002048,
      "parameter_size_embedding/trimmed": 20482048,
      "parameter_size_full/raw": 561712786,
      "parameter_size_full/trimmed": 325962786,
      "vocab_size/raw": 250002,
      "vocab_size/trimmed": 20002
    }
  }
}