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

README.md

@@ -2,10 +2,10 @@
 pipeline_tag: image-segmentation
 license: mit
 base_model: facebook/mask2former-swin-small-coco-instance
-library_name: kerasformers
+library_name: zeromodels
 tags:
 - keras
-- kerasformers
+- zeromodels
 - mask2former
 - instance-segmentation
 - image-segmentation
@@ -15,13 +15,13 @@ tags:
 - tf
 ---
 
-## ***See [our collection](https://huggingface.co/collections/kerasformers/mask2former-6a6a8f4248526cc9a74b9b97) for all versions of Mask2Former.***
+## ***See [our collection](https://huggingface.co/collections/zeromodels/mask2former-6a6a8f4248526cc9a74b9b97) for all versions of Mask2Former.***
 
 # Run Mask2Former 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-Mask2Former-blue)](https://imvision12.github.io/KerasFormers/mask2former/) [![Collection](https://img.shields.io/badge/HF-Mask2Former%20collection-yellow)](https://huggingface.co/collections/kerasformers/mask2former-6a6a8f4248526cc9a74b9b97)
+[![GitHub](https://img.shields.io/badge/GitHub-ZeroModels-black?logo=github)](https://github.com/IMvision12/ZeroModels) [![Docs](https://img.shields.io/badge/Docs-Mask2Former-blue)](https://imvision12.github.io/ZeroModels/mask2former/) [![Collection](https://img.shields.io/badge/HF-Mask2Former%20collection-yellow)](https://huggingface.co/collections/zeromodels/mask2former-6a6a8f4248526cc9a74b9b97)
 
-# kerasformers/mask2former-swin-small-coco-instance
+# zeromodels/mask2former-swin-small-coco-instance
 
 Paper: [Masked-attention Mask Transformer for Universal Image Segmentation (arXiv:2112.01527)](https://arxiv.org/abs/2112.01527) · [HF Papers](https://huggingface.co/papers/2112.01527)
 
@@ -29,7 +29,7 @@ Mask2Former improves MaskFormer with masked attention in the transformer decoder
 
 For more details on the model, please go to the upstream [model card](https://huggingface.co/facebook/mask2former-swin-small-coco-instance).
 
-Pure-**Keras 3** conversion of [`facebook/mask2former-swin-small-coco-instance`](https://huggingface.co/facebook/mask2former-swin-small-coco-instance) for [kerasformers](https://github.com/IMvision12/KerasFormers). One implementation runs unmodified on **TensorFlow / Torch / JAX**.
+Pure-**Keras 3** conversion of [`facebook/mask2former-swin-small-coco-instance`](https://huggingface.co/facebook/mask2former-swin-small-coco-instance) for [zeromodels](https://github.com/IMvision12/ZeroModels). One implementation runs unmodified on **TensorFlow / Torch / JAX**.
 
 This is a **instance** checkpoint (`Mask2FormerUniversalSegment`) (trained for instance; architecture is universal).
 
@@ -40,10 +40,10 @@ import os
 os.environ["KERAS_BACKEND"] = "torch"  # or "jax" / "tensorflow"
 
 from PIL import Image
-from kerasformers.models.mask2former import Mask2FormerUniversalSegment, Mask2FormerImageProcessor
+from zeromodels.models.mask2former import Mask2FormerUniversalSegment, Mask2FormerImageProcessor
 
-model = Mask2FormerUniversalSegment.from_weights("kerasformers/mask2former-swin-small-coco-instance")
-processor = Mask2FormerImageProcessor.from_weights("kerasformers/mask2former-swin-small-coco-instance")
+model = Mask2FormerUniversalSegment.from_weights("zeromodels/mask2former-swin-small-coco-instance")
+processor = Mask2FormerImageProcessor.from_weights("zeromodels/mask2former-swin-small-coco-instance")
 
 image = Image.open("your_image.jpg").convert("RGB")
 output = model(processor(image)["pixel_values"], training=False)
@@ -53,22 +53,22 @@ result = processor.post_process_panoptic_segmentation(
 print(result["segmentation"].shape)
 ```
 
-Load any Mask2Former variant the same way with `from_weights("kerasformers/<variant>")`:
+Load any Mask2Former variant the same way with `from_weights("zeromodels/<variant>")`:
 
 | Variant | Hub | Task |
 |---|---|---|
-| `mask2former-swin-tiny-coco-instance` | [`kerasformers/mask2former-swin-tiny-coco-instance`](https://huggingface.co/kerasformers/mask2former-swin-tiny-coco-instance) | instance |
-| `mask2former-swin-small-coco-instance` | [`kerasformers/mask2former-swin-small-coco-instance`](https://huggingface.co/kerasformers/mask2former-swin-small-coco-instance) | instance |
-| `mask2former-swin-base-coco-instance` | [`kerasformers/mask2former-swin-base-coco-instance`](https://huggingface.co/kerasformers/mask2former-swin-base-coco-instance) | instance |
-| `mask2former-swin-large-coco-instance` | [`kerasformers/mask2former-swin-large-coco-instance`](https://huggingface.co/kerasformers/mask2former-swin-large-coco-instance) | instance |
-| `mask2former-swin-tiny-coco-panoptic` | [`kerasformers/mask2former-swin-tiny-coco-panoptic`](https://huggingface.co/kerasformers/mask2former-swin-tiny-coco-panoptic) | panoptic |
-| `mask2former-swin-tiny-ade-semantic` | [`kerasformers/mask2former-swin-tiny-ade-semantic`](https://huggingface.co/kerasformers/mask2former-swin-tiny-ade-semantic) | semantic |
+| `mask2former-swin-tiny-coco-instance` | [`zeromodels/mask2former-swin-tiny-coco-instance`](https://huggingface.co/zeromodels/mask2former-swin-tiny-coco-instance) | instance |
+| `mask2former-swin-small-coco-instance` | [`zeromodels/mask2former-swin-small-coco-instance`](https://huggingface.co/zeromodels/mask2former-swin-small-coco-instance) | instance |
+| `mask2former-swin-base-coco-instance` | [`zeromodels/mask2former-swin-base-coco-instance`](https://huggingface.co/zeromodels/mask2former-swin-base-coco-instance) | instance |
+| `mask2former-swin-large-coco-instance` | [`zeromodels/mask2former-swin-large-coco-instance`](https://huggingface.co/zeromodels/mask2former-swin-large-coco-instance) | instance |
+| `mask2former-swin-tiny-coco-panoptic` | [`zeromodels/mask2former-swin-tiny-coco-panoptic`](https://huggingface.co/zeromodels/mask2former-swin-tiny-coco-panoptic) | panoptic |
+| `mask2former-swin-tiny-ade-semantic` | [`zeromodels/mask2former-swin-tiny-ade-semantic`](https://huggingface.co/zeromodels/mask2former-swin-tiny-ade-semantic) | semantic |
 
 ## Tips
 
-- Set `KERAS_BACKEND` **before** importing Keras / kerasformers.
+- Set `KERAS_BACKEND` **before** importing Keras / zeromodels.
 - The task suffix is what the checkpoint was trained for; post-process accordingly.
-- See [Mask2Former docs]({DOCS_URL}) and [Loading Weights](https://imvision12.github.io/KerasFormers/loading_weights/).
+- See [Mask2Former docs]({DOCS_URL}) and [Loading Weights](https://imvision12.github.io/ZeroModels/loading_weights/).
 - Community / upstream weights: `Mask2FormerUniversalSegment.from_weights("hf:facebook/mask2former-swin-small-coco-instance")`.
 
 ## Special Thanks

kf_config.json → zm_config.json

@@ -1,37 +1,37 @@
-{
-  "library_name": "kerasformers",
-  "kerasformers_version": "1.2.1",
-  "model_module": "kerasformers.models.mask2former",
-  "model_class": "Mask2FormerUniversalSegment",
-  "variant": "mask2former-swin-small-coco-instance",
-  "weights": "model.weights.h5",
-  "schema_version": 2,
-  "weight_dtype": "float32",
-  "model_type": "mask2former",
-  "vision_config": {
-    "backbone_embed_dim": 96,
-    "backbone_depths": [
-      2,
-      2,
-      18,
-      2
-    ],
-    "backbone_num_heads": [
-      3,
-      6,
-      12,
-      24
-    ],
-    "backbone_window_size": 7,
-    "hidden_dim": 256,
-    "mask_feature_size": 256,
-    "encoder_num_layers": 6,
-    "encoder_ffn_dim": 1024,
-    "decoder_num_layers": 9,
-    "decoder_ffn_dim": 2048,
-    "num_heads": 8,
-    "num_queries": 100,
-    "num_classes": 80,
-    "image_size": 384
-  }
+{
+  "library_name": "zeromodels",
+  "zeromodels_version": "1.2.1",
+  "model_module": "zeromodels.models.mask2former",
+  "model_class": "Mask2FormerUniversalSegment",
+  "variant": "mask2former-swin-small-coco-instance",
+  "weights": "model.weights.h5",
+  "schema_version": 2,
+  "weight_dtype": "float32",
+  "model_type": "mask2former",
+  "vision_config": {
+    "backbone_embed_dim": 96,
+    "backbone_depths": [
+      2,
+      2,
+      18,
+      2
+    ],
+    "backbone_num_heads": [
+      3,
+      6,
+      12,
+      24
+    ],
+    "backbone_window_size": 7,
+    "hidden_dim": 256,
+    "mask_feature_size": 256,
+    "encoder_num_layers": 6,
+    "encoder_ffn_dim": 1024,
+    "decoder_num_layers": 9,
+    "decoder_ffn_dim": 2048,
+    "num_heads": 8,
+    "num_queries": 100,
+    "num_classes": 80,
+    "image_size": 384
+  }
 }

kf_preprocessor.json → zm_preprocessor.json

@@ -1,19 +1,19 @@
-{
-  "library_name": "kerasformers",
-  "kerasformers_version": "1.1.3",
-  "preprocessor_module": "kerasformers.models.mask2former",
-  "preprocessor_class": "Mask2FormerImageProcessor",
-  "variant": "mask2former-swin-small-coco-instance",
-  "target_size": 384,
-  "image_mean": [
-    0.485,
-    0.456,
-    0.406
-  ],
-  "image_std": [
-    0.229,
-    0.224,
-    0.225
-  ],
-  "data_format": null
+{
+  "library_name": "zeromodels",
+  "zeromodels_version": "1.1.3",
+  "preprocessor_module": "zeromodels.models.mask2former",
+  "preprocessor_class": "Mask2FormerImageProcessor",
+  "variant": "mask2former-swin-small-coco-instance",
+  "target_size": 384,
+  "image_mean": [
+    0.485,
+    0.456,
+    0.406
+  ],
+  "image_std": [
+    0.229,
+    0.224,
+    0.225
+  ],
+  "data_format": null
 }