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gap-clip

Zero-Shot Image Classification
Transformers
Safetensors
English
clip
fashion
multimodal
image-search
text-search
embeddings
contrastive-learning
zero-shot-classification
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gap-clip
File size: 1,134 Bytes
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{
  "architectures": [
    "CLIPModel"
  ],
  "dtype": "float32",
  "initializer_factor": 1.0,
  "logit_scale_init_value": 2.6592,
  "model_type": "clip",
  "projection_dim": 512,
  "text_config": {
    "attention_dropout": 0.0,
    "dropout": 0.0,
    "dtype": "float32",
    "hidden_act": "gelu",
    "hidden_size": 512,
    "initializer_factor": 1.0,
    "initializer_range": 0.02,
    "intermediate_size": 2048,
    "layer_norm_eps": 1e-05,
    "max_position_embeddings": 77,
    "model_type": "clip_text_model",
    "num_attention_heads": 8,
    "num_hidden_layers": 12,
    "projection_dim": 512,
    "vocab_size": 49408
  },
  "transformers_version": "4.57.1",
  "vision_config": {
    "attention_dropout": 0.0,
    "dropout": 0.0,
    "dtype": "float32",
    "hidden_act": "gelu",
    "hidden_size": 768,
    "image_size": 224,
    "initializer_factor": 1.0,
    "initializer_range": 0.02,
    "intermediate_size": 3072,
    "layer_norm_eps": 1e-05,
    "model_type": "clip_vision_model",
    "num_attention_heads": 12,
    "num_channels": 3,
    "num_hidden_layers": 12,
    "patch_size": 32,
    "projection_dim": 512
  }
}