pixel-base-adaptive / config.json
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{
"architectures": [
"MPIXELForPreTraining"
],
"attention_probs_dropout_prob": 0.1,
"decoder_hidden_size": 512,
"decoder_intermediate_size": 2048,
"decoder_num_attention_heads": 16,
"decoder_num_hidden_layers": 8,
"dtype": "float32",
"head_init": "pytorch",
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 768,
"initializer_range": 0.02,
"intermediate_size": 3072,
"layer_norm_eps": 1e-12,
"mask_ratio": 0.25,
"max_num_patches": 512,
"model_type": "mpixel",
"norm_pix_loss": true,
"num_attention_heads": 12,
"num_channels": 3,
"num_hidden_layers": 12,
"patch_embedding_init": null,
"patch_size": 16,
"pooler_add_layer_norm": true,
"pooling_mode": "mean",
"qkv_bias": true,
"reference_compile": false,
"rope_theta": 160000.0,
"transformers_version": "4.57.3"
}