handler/config.json

{
  "task": "handler",
  "base_model": "sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2",
  "architecture": "sentence_pooling_plus_linear",
  "pooling": "mean",
  "hidden_size": 384,
  "num_labels": 3,
  "labels": [
    "auto",
    "human",
    "llm"
  ],
  "max_length": 64,
  "dropout": 0.2,
  "encoder_config": {
    "transformers_version": "5.14.1",
    "architectures": [
      "BertModel"
    ],
    "output_hidden_states": false,
    "return_dict": true,
    "dtype": null,
    "chunk_size_feed_forward": 0,
    "is_encoder_decoder": false,
    "id2label": {
      "0": "LABEL_0",
      "1": "LABEL_1"
    },
    "label2id": {
      "LABEL_0": 0,
      "LABEL_1": 1
    },
    "problem_type": null,
    "vocab_size": 250037,
    "hidden_size": 384,
    "num_hidden_layers": 12,
    "num_attention_heads": 12,
    "intermediate_size": 1536,
    "hidden_act": "gelu",
    "hidden_dropout_prob": 0.1,
    "attention_probs_dropout_prob": 0.1,
    "max_position_embeddings": 512,
    "type_vocab_size": 2,
    "initializer_range": 0.02,
    "layer_norm_eps": 1e-12,
    "pad_token_id": 0,
    "use_cache": true,
    "classifier_dropout": null,
    "is_decoder": false,
    "add_cross_attention": false,
    "bos_token_id": null,
    "eos_token_id": null,
    "tie_word_embeddings": true,
    "_name_or_path": "sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2",
    "gradient_checkpointing": false,
    "model_type": "bert",
    "position_embedding_type": "absolute",
    "output_attentions": false
  },
  "checkpoint_dtype": "float16"
}