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-classification
 license: unknown
 base_model: timm/res2net50_26w_8s.in1k
-library_name: kerasformers
+library_name: zeromodels
 tags:
 - keras
-- kerasformers
+- zeromodels
 - image-classification
 - res2net
 - backbone
@@ -15,13 +15,13 @@ tags:
 - tf
 ---
 
-## ***See [our collection](https://huggingface.co/collections/kerasformers/res2net-6a6bda790be5abb92d20d85f) for all versions of Res2Net.***
+## ***See [our collection](https://huggingface.co/collections/zeromodels/res2net-6a6bda790be5abb92d20d85f) for all versions of Res2Net.***
 
 # Run Res2Net 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-Res2Net-blue)](https://imvision12.github.io/KerasFormers/classification_backbones/) [![Collection](https://img.shields.io/badge/HF-Res2Net%20collection-yellow)](https://huggingface.co/collections/kerasformers/res2net-6a6bda790be5abb92d20d85f)
+[![GitHub](https://img.shields.io/badge/GitHub-ZeroModels-black?logo=github)](https://github.com/IMvision12/ZeroModels) [![Docs](https://img.shields.io/badge/Docs-Res2Net-blue)](https://imvision12.github.io/ZeroModels/classification_backbones/) [![Collection](https://img.shields.io/badge/HF-Res2Net%20collection-yellow)](https://huggingface.co/collections/zeromodels/res2net-6a6bda790be5abb92d20d85f)
 
-# kerasformers/res2net50_26w_8s_in1k
+# zeromodels/res2net50_26w_8s_in1k
 
 Paper: [Res2Net: A New Multi-scale Backbone Architecture (arXiv:1904.01169)](https://arxiv.org/abs/1904.01169) · [HF Papers](https://huggingface.co/papers/1904.01169)
 
@@ -29,7 +29,7 @@ Res2Net represents multi-scale features at a granular level inside residual bloc
 
 For more details on the model, please go to the upstream [model card](https://huggingface.co/timm/res2net50_26w_8s.in1k).
 
-Pure-**Keras 3** conversion of [`timm/res2net50_26w_8s.in1k`](https://huggingface.co/timm/res2net50_26w_8s.in1k) for [kerasformers](https://github.com/IMvision12/KerasFormers). One implementation runs unmodified on **TensorFlow / Torch / JAX**.
+Pure-**Keras 3** conversion of [`timm/res2net50_26w_8s.in1k`](https://huggingface.co/timm/res2net50_26w_8s.in1k) for [zeromodels](https://github.com/IMvision12/ZeroModels). One implementation runs unmodified on **TensorFlow / Torch / JAX**.
 
 This is an **image-classification / backbone** checkpoint (`Res2NetImageClassify` / `Res2NetModel`).
 
@@ -41,11 +41,11 @@ os.environ["KERAS_BACKEND"] = "torch"  # or "jax" / "tensorflow"
 
 from PIL import Image
 import numpy as np
-from kerasformers.models.res2net import Res2NetImageClassify, Res2NetModel
+from zeromodels.models.res2net import Res2NetImageClassify, Res2NetModel
 
-model = Res2NetImageClassify.from_weights("kerasformers/res2net50_26w_8s_in1k")
+model = Res2NetImageClassify.from_weights("zeromodels/res2net50_26w_8s_in1k")
 backbone = Res2NetModel.from_weights(
-    "kerasformers/res2net50_26w_8s_in1k", as_backbone=True
+    "zeromodels/res2net50_26w_8s_in1k", as_backbone=True
 )
 
 image = Image.open("your_image.jpg").convert("RGB")
@@ -56,23 +56,23 @@ feats = backbone(x)
 print(len(feats), [tuple(f.shape) for f in feats])
 ```
 
-Load any Res2Net variant the same way with `from_weights("kerasformers/<variant>")`:
+Load any Res2Net variant the same way with `from_weights("zeromodels/<variant>")`:
 
 | Variant | Hub |
 |---|---|
-| `res2net101_26w_4s_in1k` | [`kerasformers/res2net101_26w_4s_in1k`](https://huggingface.co/kerasformers/res2net101_26w_4s_in1k) |
-| `res2net50_14w_8s_in1k` | [`kerasformers/res2net50_14w_8s_in1k`](https://huggingface.co/kerasformers/res2net50_14w_8s_in1k) |
-| `res2net50_26w_4s_in1k` | [`kerasformers/res2net50_26w_4s_in1k`](https://huggingface.co/kerasformers/res2net50_26w_4s_in1k) |
-| `res2net50_26w_6s_in1k` | [`kerasformers/res2net50_26w_6s_in1k`](https://huggingface.co/kerasformers/res2net50_26w_6s_in1k) |
-| `res2net50_26w_8s_in1k` | [`kerasformers/res2net50_26w_8s_in1k`](https://huggingface.co/kerasformers/res2net50_26w_8s_in1k) |
-| `res2net50_48w_2s_in1k` | [`kerasformers/res2net50_48w_2s_in1k`](https://huggingface.co/kerasformers/res2net50_48w_2s_in1k) |
-| `res2next50_in1k` | [`kerasformers/res2next50_in1k`](https://huggingface.co/kerasformers/res2next50_in1k) |
+| `res2net101_26w_4s_in1k` | [`zeromodels/res2net101_26w_4s_in1k`](https://huggingface.co/zeromodels/res2net101_26w_4s_in1k) |
+| `res2net50_14w_8s_in1k` | [`zeromodels/res2net50_14w_8s_in1k`](https://huggingface.co/zeromodels/res2net50_14w_8s_in1k) |
+| `res2net50_26w_4s_in1k` | [`zeromodels/res2net50_26w_4s_in1k`](https://huggingface.co/zeromodels/res2net50_26w_4s_in1k) |
+| `res2net50_26w_6s_in1k` | [`zeromodels/res2net50_26w_6s_in1k`](https://huggingface.co/zeromodels/res2net50_26w_6s_in1k) |
+| `res2net50_26w_8s_in1k` | [`zeromodels/res2net50_26w_8s_in1k`](https://huggingface.co/zeromodels/res2net50_26w_8s_in1k) |
+| `res2net50_48w_2s_in1k` | [`zeromodels/res2net50_48w_2s_in1k`](https://huggingface.co/zeromodels/res2net50_48w_2s_in1k) |
+| `res2next50_in1k` | [`zeromodels/res2next50_in1k`](https://huggingface.co/zeromodels/res2next50_in1k) |
 
 ## Tips
 
-- Set `KERAS_BACKEND` **before** importing Keras / kerasformers.
+- Set `KERAS_BACKEND` **before** importing Keras / zeromodels.
 - `Res2NetImageClassify` returns class logits; `Res2NetModel` returns features (`as_backbone=True` for multi-scale stages).
-- See [docs](https://imvision12.github.io/KerasFormers/classification_backbones/) and [Loading Weights](https://imvision12.github.io/KerasFormers/loading_weights/).
+- See [docs](https://imvision12.github.io/ZeroModels/classification_backbones/) and [Loading Weights](https://imvision12.github.io/ZeroModels/loading_weights/).
 - Upstream / timm checkpoints: `Res2NetImageClassify.from_weights("hf:timm/res2net50_26w_8s.in1k")`.
 
 ## Special Thanks

kf_config.json → zm_config.json

@@ -1,23 +1,23 @@
-{
-  "library_name": "kerasformers",
-  "kerasformers_version": "1.2.1",
-  "model_module": "kerasformers.models.res2net",
-  "model_class": "Res2NetImageClassify",
-  "variant": "res2net50_26w_8s_in1k",
-  "weights": "model.weights.h5",
-  "schema_version": 2,
-  "weight_dtype": "float32",
-  "model_type": "res2net",
-  "vision_config": {
-    "depth": [
-      3,
-      4,
-      6,
-      3
-    ],
-    "base_width": 26,
-    "scale": 8,
-    "cardinality": 1,
-    "num_classes": 1000
-  }
+{
+  "library_name": "zeromodels",
+  "zeromodels_version": "1.2.1",
+  "model_module": "zeromodels.models.res2net",
+  "model_class": "Res2NetImageClassify",
+  "variant": "res2net50_26w_8s_in1k",
+  "weights": "model.weights.h5",
+  "schema_version": 2,
+  "weight_dtype": "float32",
+  "model_type": "res2net",
+  "vision_config": {
+    "depth": [
+      3,
+      4,
+      6,
+      3
+    ],
+    "base_width": 26,
+    "scale": 8,
+    "cardinality": 1,
+    "num_classes": 1000
+  }
 }