{ "_name_or_path": "tiny_models/segformer/SegformerModel", "architectures": [ "SegformerModel" ], "attention_probs_dropout_prob": 0.1, "classifier_dropout_prob": 0.1, "decoder_hidden_size": 256, "depths": [ 2, 2, 2, 2 ], "drop_path_rate": 0.1, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_sizes": [ 16, 32, 64, 128 ], "image_size": 64, "initializer_range": 0.02, "layer_norm_eps": 1e-06, "mlp_ratios": [ 4, 4, 4, 4 ], "model_type": "segformer", "num_attention_heads": [ 1, 2, 4, 8 ], "num_channels": 3, "num_encoder_blocks": 4, "patch_sizes": [ 7, 3, 3, 3 ], "reshape_last_stage": true, "semantic_loss_ignore_index": 255, "sr_ratios": [ 8, 4, 2, 1 ], "strides": [ 4, 2, 2, 2 ], "torch_dtype": "float32", "transformers_version": "4.28.0.dev0" }