Transformers
PyTorch
English
bridgetower
Inference Endpoints
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{
    "drop_rate":0.1,
    "freeze_RoBERTa":false,
    "freeze_ViT":false,
    "freeze_layer_count_roberta":false,
    "freeze_layer_count_vit":false,
    "head_hidden_scale":2,
    "hidden_act":"gelu",
    "hidden_size":768,
    "image_size":288,
    "input_text_embed_size":768,
    "input_image_embed_size":768,
    "is_encoder_decoder":false,
    "layer_norm_eps":1e-5,
    "link_tower_shared":false,
    "link_tower_type":"add",
    "max_text_len":50,
    "mlp_ratio":4,
    "num_attention_heads":12,
    "num_hidden_layers":6,
    "resolution_before":224,
    "stop_gradient":false,
    "tie_word_embeddings":false,
    "tokenizer":"roberta-base",
    "unfreeze_RoBERTa_attention":false,
    "unfreeze_RoBERTa_embeddings":false,
    "unfreeze_RoBERTa_encoder":false,
    "unfreeze_RoBERTa_layernorm":false,
    "unfreeze_ViT_attention":false,
    "unfreeze_ViT_layernorm":false,
    "vit_embed_dim":512,
    "vit_layers":12,
    "vit_layernorm_init_from_vit":false,
    "vit_layernorm_shared":true,
    "vit_patch_size":16,
    "vit_remove_last":false,
    "vit_transformer_width":512,
    "vit_width":768,
    "vocab_size":50265,
    "text_config":{
      "architectures": ["BridgeTowerTextModel"],
      "vocab_size": 50265,
      "hidden_size": 768,
      "num_hidden_layers": 12,
      "num_attention_heads": 12,
      "intermediate_size": 3072,
      "hidden_act": "gelu",
      "hidden_dropout_prob": 0.1,
      "attention_probs_dropout_prob": 0.1,
      "max_position_embeddings": 514,
      "type_vocab_size": 1,
      "initializer_range": 0.02,
      "layer_norm_eps": 1e-05,
      "pad_token_id": 1,
      "bos_token_id": 0,
      "eos_token_id": 2,
      "position_embedding_type": "absolute",
      "use_cache": true
    }
}