Add config from convert_d_fine_original_pytorch_checkpoint_to_hf.py

config.json

@@ -1,10 +1,8 @@
 {
+  "_attn_implementation_autoset": true,
   "activation_dropout": 0.0,
   "activation_function": "silu",
   "anchor_image_size": null,
-  "architectures": [
-    "DFineForObjectDetection"
-  ],
   "attention_dropout": 0.0,
   "auxiliary_loss": true,
   "backbone": null,
@@ -75,7 +73,7 @@
       16,
       16
     ],
-    "use_lab": true
+    "use_learnable_affine_block": true
   },
   "backbone_kwargs": null,
   "batch_norm_eps": 1e-05,
@@ -299,16 +297,15 @@
   "matcher_class_cost": 2.0,
   "matcher_gamma": 2.0,
   "matcher_giou_cost": 2.0,
+  "max_num_bins": 32,
   "model_type": "d_fine",
   "normalize_before": false,
   "num_denoising": 100,
   "num_feature_levels": 3,
   "num_queries": 300,
   "positional_encoding_temperature": 10000,
-  "reg_max": 32,
   "reg_scale": 4.0,
   "top_prob_values": 4,
-  "torch_dtype": "float32",
   "transformers_version": "4.49.0.dev0",
   "use_focal_loss": true,
   "use_pretrained_backbone": false,