phenovision / config.json
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{
"architectures": [
"ViTForImageClassification"
],
"attention_probs_dropout_prob": 0.0,
"encoder_stride": 16,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.0,
"hidden_size": 1024,
"image_size": 224,
"initializer_range": 0.02,
"intermediate_size": 4096,
"layer_norm_eps": 1e-12,
"model_type": "vit",
"num_attention_heads": 16,
"num_channels": 3,
"num_hidden_layers": 24,
"patch_size": 16,
"pooler_act": "tanh",
"pooler_output_size": 768,
"qkv_bias": true,
"torch_dtype": "float32",
"transformers_version": "4.52.4"
}