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{ |
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"architectures": [ |
|
"ViTMAEForPreTraining" |
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], |
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"attention_probs_dropout_prob": 0.0, |
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"decoder_hidden_size": 512, |
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"decoder_intermediate_size": 2048, |
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"decoder_num_attention_heads": 16, |
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"decoder_num_hidden_layers": 8, |
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"hidden_act": "gelu", |
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"hidden_dropout_prob": 0.0, |
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"hidden_size": 768, |
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"image_size": 224, |
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"initializer_range": 0.02, |
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"intermediate_size": 3072, |
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"layer_norm_eps": 1e-12, |
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"mask_ratio": 0.4, |
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"model_type": "vit_mae", |
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"norm_pix_loss": true, |
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"num_attention_heads": 12, |
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"num_channels": 3, |
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"num_hidden_layers": 12, |
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"patch_size": 16, |
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"qkv_bias": true, |
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"torch_dtype": "float32", |
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"transformers_version": "4.39.0.dev0" |
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} |
|
|