Migrate to zeromodels (rename kf_*.json -> zm_*.json, fix refs in config + README, ensure tag + badge)

README.md

@@ -2,10 +2,10 @@
 pipeline_tag: object-detection
 license: apache-2.0
 base_model: ustc-community/dfine-xlarge-coco
-library_name: kerasformers
+library_name: zeromodels
 tags:
 - keras
-- kerasformers
+- zeromodels
 - d-fine
 - dfine
 - detr
@@ -16,13 +16,13 @@ tags:
 - tf
 ---
 
-## ***See [our collection](https://huggingface.co/collections/kerasformers/d-fine-6a69d56d4bee59c3f582ebf0) for all versions of D-FINE.***
+## ***See [our collection](https://huggingface.co/collections/zeromodels/d-fine-6a69d56d4bee59c3f582ebf0) for all versions of D-FINE.***
 
 # Run D-FINE with Keras 3: JAX, PyTorch, or TensorFlow
 
-[![GitHub](https://img.shields.io/badge/GitHub-KerasFormers-black?logo=github)](https://github.com/IMvision12/KerasFormers) [![Docs](https://img.shields.io/badge/Docs-D--FINE-blue)](https://imvision12.github.io/KerasFormers/dfine/) [![Collection](https://img.shields.io/badge/HF-D--FINE%20collection-yellow)](https://huggingface.co/collections/kerasformers/d-fine-6a69d56d4bee59c3f582ebf0)
+[![GitHub](https://img.shields.io/badge/GitHub-ZeroModels-black?logo=github)](https://github.com/IMvision12/ZeroModels) [![Docs](https://img.shields.io/badge/Docs-D--FINE-blue)](https://imvision12.github.io/ZeroModels/dfine/) [![Collection](https://img.shields.io/badge/HF-D--FINE%20collection-yellow)](https://huggingface.co/collections/zeromodels/d-fine-6a69d56d4bee59c3f582ebf0)
 
-# kerasformers/dfine-xlarge
+# zeromodels/dfine-xlarge
 
 Paper: [D-FINE: Redefine Regression Task of DETRs as Fine-grained Distribution Refinement (arXiv:2410.13842)](https://arxiv.org/abs/2410.13842) · [HF Papers](https://huggingface.co/papers/2410.13842)
 
@@ -30,7 +30,7 @@ D-FINE is a real-time detector built on the RT-DETR recipe: an HGNetV2 backbone,
 
 For more details on the model, please go to the upstream [model card](https://huggingface.co/ustc-community/dfine-xlarge-coco).
 
-Pure-**Keras 3** conversion of [`ustc-community/dfine-xlarge-coco`](https://huggingface.co/ustc-community/dfine-xlarge-coco) for [kerasformers](https://github.com/IMvision12/KerasFormers). One implementation runs unmodified on **TensorFlow / Torch / JAX**.
+Pure-**Keras 3** conversion of [`ustc-community/dfine-xlarge-coco`](https://huggingface.co/ustc-community/dfine-xlarge-coco) for [zeromodels](https://github.com/IMvision12/ZeroModels). One implementation runs unmodified on **TensorFlow / Torch / JAX**.
 
 This is an **object detection** checkpoint (`DFineDetect`) on COCO (HGNetV2-XLarge).
 
@@ -41,10 +41,10 @@ import os
 os.environ["KERAS_BACKEND"] = "torch"  # or "jax" / "tensorflow"
 
 from PIL import Image
-from kerasformers.models.dfine import DFineDetect, DFineImageProcessor
+from zeromodels.models.dfine import DFineDetect, DFineImageProcessor
 
-model = DFineDetect.from_weights("kerasformers/dfine-xlarge")
-processor = DFineImageProcessor.from_weights("kerasformers/dfine-xlarge")
+model = DFineDetect.from_weights("zeromodels/dfine-xlarge")
+processor = DFineImageProcessor.from_weights("zeromodels/dfine-xlarge")
 
 image = Image.open("your_image.jpg").convert("RGB")
 inputs = processor(image)
@@ -58,21 +58,21 @@ for score, name, box in zip(
     print(f"{name}: {float(score):.3f} {box}")
 ```
 
-Load any D-FINE variant the same way with `from_weights("kerasformers/<variant>")`:
+Load any D-FINE variant the same way with `from_weights("zeromodels/<variant>")`:
 
 | Variant | Hub | Backbone |
 |---|---|---|
-| `dfine-nano` | [`kerasformers/dfine-nano`](https://huggingface.co/kerasformers/dfine-nano) | HGNetV2-Nano |
-| `dfine-small` | [`kerasformers/dfine-small`](https://huggingface.co/kerasformers/dfine-small) | HGNetV2-Small |
-| `dfine-medium` | [`kerasformers/dfine-medium`](https://huggingface.co/kerasformers/dfine-medium) | HGNetV2-Medium |
-| `dfine-large` | [`kerasformers/dfine-large`](https://huggingface.co/kerasformers/dfine-large) | HGNetV2-Large |
-| `dfine-xlarge` | [`kerasformers/dfine-xlarge`](https://huggingface.co/kerasformers/dfine-xlarge) | HGNetV2-XLarge |
+| `dfine-nano` | [`zeromodels/dfine-nano`](https://huggingface.co/zeromodels/dfine-nano) | HGNetV2-Nano |
+| `dfine-small` | [`zeromodels/dfine-small`](https://huggingface.co/zeromodels/dfine-small) | HGNetV2-Small |
+| `dfine-medium` | [`zeromodels/dfine-medium`](https://huggingface.co/zeromodels/dfine-medium) | HGNetV2-Medium |
+| `dfine-large` | [`zeromodels/dfine-large`](https://huggingface.co/zeromodels/dfine-large) | HGNetV2-Large |
+| `dfine-xlarge` | [`zeromodels/dfine-xlarge`](https://huggingface.co/zeromodels/dfine-xlarge) | HGNetV2-XLarge |
 
 ## Tips
 
-- Set `KERAS_BACKEND` **before** importing Keras / kerasformers.
+- Set `KERAS_BACKEND` **before** importing Keras / zeromodels.
 - `DFineImageProcessor` keeps `do_normalize=False` by default (rescaled `[0, 1]` input, matching upstream).
-- See [D-FINE docs](https://imvision12.github.io/KerasFormers/dfine/) and [Loading Weights](https://imvision12.github.io/KerasFormers/loading_weights/).
+- See [D-FINE docs](https://imvision12.github.io/ZeroModels/dfine/) and [Loading Weights](https://imvision12.github.io/ZeroModels/loading_weights/).
 - Community / upstream safetensors still work via the `hf:` prefix, e.g. `DFineDetect.from_weights("hf:ustc-community/dfine-xlarge-coco")`.
 
 ## Special Thanks

kf_config.json → zm_config.json

@@ -1,78 +1,78 @@
-{
-  "library_name": "kerasformers",
-  "kerasformers_version": "1.2.1",
-  "model_module": "kerasformers.models.dfine",
-  "model_class": "DFineDetect",
-  "variant": "dfine-xlarge",
-  "weights": "model.weights.h5",
-  "schema_version": 2,
-  "weight_dtype": "float32",
-  "model_type": "d_fine",
-  "vision_config": {
-    "stem_channels": [
-      3,
-      32,
-      64
-    ],
-    "stage_in_channels": [
-      64,
-      128,
-      512,
-      1024
-    ],
-    "stage_mid_channels": [
-      64,
-      128,
-      256,
-      512
-    ],
-    "stage_out_channels": [
-      128,
-      512,
-      1024,
-      2048
-    ],
-    "stage_num_blocks": [
-      1,
-      2,
-      5,
-      2
-    ],
-    "stage_numb_of_layers": [
-      6,
-      6,
-      6,
-      6
-    ],
-    "use_lab": false,
-    "encoder_in_channels": [
-      512,
-      1024,
-      2048
-    ],
-    "encoder_hidden_dim": 384,
-    "encoder_ffn_dim": 2048,
-    "encode_proj_layers": [
-      2
-    ],
-    "hidden_expansion": 1.0,
-    "ccfm_num_blocks": 3,
-    "hidden_dim": 256,
-    "decoder_num_layers": 6,
-    "decoder_ffn_dim": 1024,
-    "decoder_n_points": [
-      3,
-      6,
-      3
-    ],
-    "num_feature_levels": 3,
-    "feat_strides": [
-      8,
-      16,
-      32
-    ],
-    "num_classes": 80,
-    "num_queries": 300,
-    "image_size": 640
-  }
+{
+  "library_name": "zeromodels",
+  "zeromodels_version": "1.2.1",
+  "model_module": "zeromodels.models.dfine",
+  "model_class": "DFineDetect",
+  "variant": "dfine-xlarge",
+  "weights": "model.weights.h5",
+  "schema_version": 2,
+  "weight_dtype": "float32",
+  "model_type": "d_fine",
+  "vision_config": {
+    "stem_channels": [
+      3,
+      32,
+      64
+    ],
+    "stage_in_channels": [
+      64,
+      128,
+      512,
+      1024
+    ],
+    "stage_mid_channels": [
+      64,
+      128,
+      256,
+      512
+    ],
+    "stage_out_channels": [
+      128,
+      512,
+      1024,
+      2048
+    ],
+    "stage_num_blocks": [
+      1,
+      2,
+      5,
+      2
+    ],
+    "stage_numb_of_layers": [
+      6,
+      6,
+      6,
+      6
+    ],
+    "use_lab": false,
+    "encoder_in_channels": [
+      512,
+      1024,
+      2048
+    ],
+    "encoder_hidden_dim": 384,
+    "encoder_ffn_dim": 2048,
+    "encode_proj_layers": [
+      2
+    ],
+    "hidden_expansion": 1.0,
+    "ccfm_num_blocks": 3,
+    "hidden_dim": 256,
+    "decoder_num_layers": 6,
+    "decoder_ffn_dim": 1024,
+    "decoder_n_points": [
+      3,
+      6,
+      3
+    ],
+    "num_feature_levels": 3,
+    "feat_strides": [
+      8,
+      16,
+      32
+    ],
+    "num_classes": 80,
+    "num_queries": 300,
+    "image_size": 640
+  }
 }

kf_preprocessor.json → zm_preprocessor.json

@@ -1,27 +1,27 @@
-{
-  "library_name": "kerasformers",
-  "kerasformers_version": "1.1.3",
-  "preprocessor_module": "kerasformers.models.dfine",
-  "preprocessor_class": "DFineImageProcessor",
-  "variant": "dfine-xlarge",
-  "size": {
-    "height": 640,
-    "width": 640
-  },
-  "resample": "bilinear",
-  "do_rescale": true,
-  "rescale_factor": 0.00392156862745098,
-  "do_normalize": false,
-  "image_mean": [
-    0.485,
-    0.456,
-    0.406
-  ],
-  "image_std": [
-    0.229,
-    0.224,
-    0.225
-  ],
-  "return_tensor": true,
-  "data_format": null
+{
+  "library_name": "zeromodels",
+  "zeromodels_version": "1.1.3",
+  "preprocessor_module": "zeromodels.models.dfine",
+  "preprocessor_class": "DFineImageProcessor",
+  "variant": "dfine-xlarge",
+  "size": {
+    "height": 640,
+    "width": 640
+  },
+  "resample": "bilinear",
+  "do_rescale": true,
+  "rescale_factor": 0.00392156862745098,
+  "do_normalize": false,
+  "image_mean": [
+    0.485,
+    0.456,
+    0.406
+  ],
+  "image_std": [
+    0.229,
+    0.224,
+    0.225
+  ],
+  "return_tensor": true,
+  "data_format": null
 }