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tiny-random-VisionTextDualEncoderModel-vit-bert

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tiny-random-VisionTextDualEncoderModel-vit-bert
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{
  "architectures": [
    "VisionTextDualEncoderModel"
  ],
  "dtype": "float32",
  "logit_scale_init_value": 2.6592,
  "model_type": "vision-text-dual-encoder",
  "projection_dim": 512,
  "text_config": {
    "_name_or_path": "/tmp/tmplo0207hs/decoder/BertModel",
    "add_cross_attention": false,
    "architectures": [
      "BertModel"
    ],
    "attention_probs_dropout_prob": 0.1,
    "bos_token_id": null,
    "chunk_size_feed_forward": 0,
    "classifier_dropout": null,
    "dtype": "float32",
    "eos_token_id": null,
    "hidden_act": "gelu",
    "hidden_dropout_prob": 0.1,
    "hidden_size": 32,
    "id2label": {
      "0": "LABEL_0",
      "1": "LABEL_1"
    },
    "initializer_range": 0.02,
    "intermediate_size": 37,
    "is_decoder": false,
    "is_encoder_decoder": false,
    "label2id": {
      "LABEL_0": 0,
      "LABEL_1": 1
    },
    "layer_norm_eps": 1e-12,
    "max_position_embeddings": 512,
    "model_type": "bert",
    "num_attention_heads": 4,
    "num_hidden_layers": 2,
    "output_attentions": false,
    "output_hidden_states": false,
    "pad_token_id": 0,
    "problem_type": null,
    "return_dict": true,
    "tie_word_embeddings": true,
    "type_vocab_size": 16,
    "use_cache": true,
    "vocab_size": 30522
  },
  "transformers_version": "5.16.0.dev0",
  "vision_config": {
    "_name_or_path": "/tmp/tmplo0207hs/encoder/ViTModel",
    "architectures": [
      "ViTModel"
    ],
    "attention_probs_dropout_prob": 0.1,
    "chunk_size_feed_forward": 0,
    "dtype": "float32",
    "encoder_stride": 2,
    "hidden_act": "gelu",
    "hidden_dropout_prob": 0.1,
    "hidden_size": 32,
    "id2label": {
      "0": "LABEL_0",
      "1": "LABEL_1"
    },
    "image_size": 30,
    "initializer_range": 0.02,
    "intermediate_size": 37,
    "is_decoder": false,
    "is_encoder_decoder": false,
    "label2id": {
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      "LABEL_1": 1
    },
    "layer_norm_eps": 1e-12,
    "model_type": "vit",
    "num_attention_heads": 4,
    "num_channels": 3,
    "num_hidden_layers": 2,
    "output_attentions": false,
    "output_hidden_states": false,
    "patch_size": 2,
    "pooler_act": "tanh",
    "pooler_output_size": 32,
    "problem_type": null,
    "qkv_bias": true,
    "return_dict": true
  }
}