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e5-small-trm

Sentence Similarity
sentence-transformers
Safetensors
Transformers
Dutch
bert
feature-extraction
text-embeddings-inference
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e5-small-trm
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  "architectures": [
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  ],
  "attention_probs_dropout_prob": 0.1,
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  "hidden_act": "gelu",
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  "hidden_size": 384,
  "initializer_range": 0.02,
  "intermediate_size": 1536,
  "layer_norm_eps": 1e-12,
  "max_position_embeddings": 512,
  "model_type": "bert",
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "pad_token_id": 0,
  "position_embedding_type": "absolute",
  "tokenizer_class": "XLMRobertaTokenizer",
  "torch_dtype": "float32",
  "transformers_version": "4.55.4",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 50002,
  "vocabtrimmer": {
    "mining_config": {
      "dataset": "allenai/c4",
      "dataset_column": "text",
      "dataset_name": "nl",
      "dataset_split": "validation",
      "language": "nl",
      "min_frequency": 2,
      "target_vocab_size": 50000
    },
    "stats": {
      "compression_rate_embedding": 19.997840319632694,
      "compression_rate_full": 34.71229478768889,
      "parameter_size_embedding/raw": 96014208,
      "parameter_size_embedding/trimmed": 19200768,
      "parameter_size_full/raw": 117653760,
      "parameter_size_full/trimmed": 40840320,
      "vocab_size/raw": 250037,
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    }
  }
}