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

README.md

@@ -4,10 +4,10 @@ license: other
 license_name: sam-license
 license_link: https://github.com/facebookresearch/sam3/blob/main/LICENSE
 base_model: facebook/sam3
-library_name: kerasformers
+library_name: zeromodels
 tags:
 - keras
-- kerasformers
+- zeromodels
 - sam3
 - mask-generation
 - image-segmentation
@@ -17,13 +17,13 @@ tags:
 - tf
 ---
 
-## ***See [our collection](https://huggingface.co/collections/kerasformers/sam-v1-v2-v3-6a6a8c261dabbc2996e1b4a2) for all versions of SAM.***
+## ***See [our collection](https://huggingface.co/collections/zeromodels/sam-v1-v2-v3-6a6a8c261dabbc2996e1b4a2) for all versions of SAM.***
 
 # Run SAM3 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-SAM3-blue)](https://imvision12.github.io/KerasFormers/sam3/) [![Collection](https://img.shields.io/badge/HF-SAM%20collection-yellow)](https://huggingface.co/collections/kerasformers/sam-v1-v2-v3-6a6a8c261dabbc2996e1b4a2)
+[![GitHub](https://img.shields.io/badge/GitHub-ZeroModels-black?logo=github)](https://github.com/IMvision12/ZeroModels) [![Docs](https://img.shields.io/badge/Docs-SAM3-blue)](https://imvision12.github.io/ZeroModels/sam3/) [![Collection](https://img.shields.io/badge/HF-SAM%20collection-yellow)](https://huggingface.co/collections/zeromodels/sam-v1-v2-v3-6a6a8c261dabbc2996e1b4a2)
 
-# kerasformers/sam3
+# zeromodels/sam3
 
 Paper: [SAM 3: Segment Anything with Concepts (arXiv:2511.16719)](https://arxiv.org/abs/2511.16719) · [HF Papers](https://huggingface.co/papers/2511.16719)
 
@@ -31,7 +31,7 @@ SAM3 segments by concept, not location: give it a noun phrase and it finds every
 
 For more details on the model, please go to Meta's original [model card](https://huggingface.co/facebook/sam3).
 
-Pure-**Keras 3** conversion of [`facebook/sam3`](https://huggingface.co/facebook/sam3) for [kerasformers](https://github.com/IMvision12/KerasFormers). One implementation runs unmodified on **TensorFlow / Torch / JAX**.
+Pure-**Keras 3** conversion of [`facebook/sam3`](https://huggingface.co/facebook/sam3) for [zeromodels](https://github.com/IMvision12/ZeroModels). One implementation runs unmodified on **TensorFlow / Torch / JAX**.
 
 This is a **concept-prompted** checkpoint (`SAM3InstanceSegment` / `SAM3Detect` / `SAM3SemanticSegment`): pass a text noun phrase (backbone ViT-L/14).
 
@@ -41,34 +41,34 @@ This is a **concept-prompted** checkpoint (`SAM3InstanceSegment` / `SAM3Detect`
 import os
 os.environ["KERAS_BACKEND"] = "torch"  # or "jax" / "tensorflow"
 
-from kerasformers.models.sam3 import SAM3InstanceSegment
+from zeromodels.models.sam3 import SAM3InstanceSegment
 
-segmenter = SAM3InstanceSegment.from_weights("kerasformers/sam3")
+segmenter = SAM3InstanceSegment.from_weights("zeromodels/sam3")
 result = segmenter.predict(
     images="your_image.jpg", text="person", threshold=0.3
 )[0]
 print(len(result["scores"]), result["masks"].shape)
 ```
 
-Load any SAM / SAM2 / SAM3 variant the same way with `from_weights("kerasformers/<variant>")` (use `SAM3InstanceSegment` for this repo):
+Load any SAM / SAM2 / SAM3 variant the same way with `from_weights("zeromodels/<variant>")` (use `SAM3InstanceSegment` for this repo):
 
 | Variant | Hub | Family |
 |---|---|---|
-| `sam_vit_base` | [`kerasformers/sam_vit_base`](https://huggingface.co/kerasformers/sam_vit_base) | SAM |
-| `sam_vit_large` | [`kerasformers/sam_vit_large`](https://huggingface.co/kerasformers/sam_vit_large) | SAM |
-| `sam_vit_huge` | [`kerasformers/sam_vit_huge`](https://huggingface.co/kerasformers/sam_vit_huge) | SAM |
-| `sam2_hiera_small` | [`kerasformers/sam2_hiera_small`](https://huggingface.co/kerasformers/sam2_hiera_small) | SAM2 |
-| `sam2_hiera_base_plus` | [`kerasformers/sam2_hiera_base_plus`](https://huggingface.co/kerasformers/sam2_hiera_base_plus) | SAM2 |
-| `sam2_hiera_large` | [`kerasformers/sam2_hiera_large`](https://huggingface.co/kerasformers/sam2_hiera_large) | SAM2 |
-| `sam3` | [`kerasformers/sam3`](https://huggingface.co/kerasformers/sam3) | SAM3 |
+| `sam_vit_base` | [`zeromodels/sam_vit_base`](https://huggingface.co/zeromodels/sam_vit_base) | SAM |
+| `sam_vit_large` | [`zeromodels/sam_vit_large`](https://huggingface.co/zeromodels/sam_vit_large) | SAM |
+| `sam_vit_huge` | [`zeromodels/sam_vit_huge`](https://huggingface.co/zeromodels/sam_vit_huge) | SAM |
+| `sam2_hiera_small` | [`zeromodels/sam2_hiera_small`](https://huggingface.co/zeromodels/sam2_hiera_small) | SAM2 |
+| `sam2_hiera_base_plus` | [`zeromodels/sam2_hiera_base_plus`](https://huggingface.co/zeromodels/sam2_hiera_base_plus) | SAM2 |
+| `sam2_hiera_large` | [`zeromodels/sam2_hiera_large`](https://huggingface.co/zeromodels/sam2_hiera_large) | SAM2 |
+| `sam3` | [`zeromodels/sam3`](https://huggingface.co/zeromodels/sam3) | SAM3 |
 
 ## Tips
 
-- Set `KERAS_BACKEND` **before** importing Keras / kerasformers.
+- Set `KERAS_BACKEND` **before** importing Keras / zeromodels.
 - SAM / SAM2: point coordinates are in original pixel space; box prompts need `enable_boxes=True` / `include_box_input=True` when building the graph.
 - SAM2 in this port is image-only (no video memory bank).
 - SAM3: prefer `SAM3InstanceSegment.predict(...)` for text prompts; upstream `facebook/sam3` is gated.
-- See [SAM3 docs](https://imvision12.github.io/KerasFormers/sam3/) and [Loading Weights](https://imvision12.github.io/KerasFormers/loading_weights/).
+- See [SAM3 docs](https://imvision12.github.io/ZeroModels/sam3/) and [Loading Weights](https://imvision12.github.io/ZeroModels/loading_weights/).
 - Community / upstream safetensors still work via the `hf:` prefix, e.g. `SAM3Model.from_weights("hf:facebook/sam3")`.
 
 ## Special Thanks

kf_config.json → zm_config.json

@@ -1,52 +1,52 @@
-{
-  "library_name": "kerasformers",
-  "kerasformers_version": "1.2.1",
-  "model_module": "kerasformers.models.sam3",
-  "model_class": "SAM3Model",
-  "variant": "sam3",
-  "weights": "model.weights.h5",
-  "schema_version": 2,
-  "weight_dtype": "float32",
-  "model_type": "sam3",
-  "vision_config": {
-    "vit_hidden_size": 1024,
-    "vit_intermediate_size": 4736,
-    "vit_num_hidden_layers": 32,
-    "vit_num_attention_heads": 16,
-    "vit_image_size": 1008,
-    "vit_patch_size": 14,
-    "vit_window_size": 24,
-    "vit_global_attn_indexes": [
-      7,
-      15,
-      23,
-      31
-    ],
-    "vit_rope_theta": 10000.0,
-    "vit_pretrain_image_size": 336,
-    "fpn_hidden_size": 256,
-    "fpn_scale_factors": [
-      4.0,
-      2.0,
-      1.0,
-      0.5
-    ],
-    "detr_encoder_hidden_size": 256,
-    "detr_encoder_num_layers": 6,
-    "detr_encoder_num_attention_heads": 8,
-    "detr_encoder_intermediate_size": 2048,
-    "detr_encoder_dropout": 0.1,
-    "detr_decoder_hidden_size": 256,
-    "detr_decoder_num_layers": 6,
-    "detr_decoder_num_queries": 200,
-    "detr_decoder_num_attention_heads": 8,
-    "detr_decoder_intermediate_size": 2048,
-    "detr_decoder_dropout": 0.1,
-    "mask_decoder_hidden_size": 256,
-    "mask_decoder_num_upsampling_stages": 3,
-    "mask_decoder_num_attention_heads": 8,
-    "text_hidden_size": 1024,
-    "text_projection_dim": 512,
-    "image_size": 1008
-  }
+{
+  "library_name": "zeromodels",
+  "zeromodels_version": "1.2.1",
+  "model_module": "zeromodels.models.sam3",
+  "model_class": "SAM3Model",
+  "variant": "sam3",
+  "weights": "model.weights.h5",
+  "schema_version": 2,
+  "weight_dtype": "float32",
+  "model_type": "sam3",
+  "vision_config": {
+    "vit_hidden_size": 1024,
+    "vit_intermediate_size": 4736,
+    "vit_num_hidden_layers": 32,
+    "vit_num_attention_heads": 16,
+    "vit_image_size": 1008,
+    "vit_patch_size": 14,
+    "vit_window_size": 24,
+    "vit_global_attn_indexes": [
+      7,
+      15,
+      23,
+      31
+    ],
+    "vit_rope_theta": 10000.0,
+    "vit_pretrain_image_size": 336,
+    "fpn_hidden_size": 256,
+    "fpn_scale_factors": [
+      4.0,
+      2.0,
+      1.0,
+      0.5
+    ],
+    "detr_encoder_hidden_size": 256,
+    "detr_encoder_num_layers": 6,
+    "detr_encoder_num_attention_heads": 8,
+    "detr_encoder_intermediate_size": 2048,
+    "detr_encoder_dropout": 0.1,
+    "detr_decoder_hidden_size": 256,
+    "detr_decoder_num_layers": 6,
+    "detr_decoder_num_queries": 200,
+    "detr_decoder_num_attention_heads": 8,
+    "detr_decoder_intermediate_size": 2048,
+    "detr_decoder_dropout": 0.1,
+    "mask_decoder_hidden_size": 256,
+    "mask_decoder_num_upsampling_stages": 3,
+    "mask_decoder_num_attention_heads": 8,
+    "text_hidden_size": 1024,
+    "text_projection_dim": 512,
+    "image_size": 1008
+  }
 }

kf_preprocessor.json → zm_preprocessor.json

@@ -1,19 +1,19 @@
-{
-  "library_name": "kerasformers",
-  "kerasformers_version": "1.2.3",
-  "preprocessor_module": "kerasformers.models.sam3",
-  "preprocessor_class": "SAM3ImageProcessor",
-  "variant": "sam3",
-  "image_resolution": 1008,
-  "image_mean": [
-    0.5,
-    0.5,
-    0.5
-  ],
-  "image_std": [
-    0.5,
-    0.5,
-    0.5
-  ],
-  "rescale_factor": 0.00392156862745098
+{
+  "library_name": "zeromodels",
+  "zeromodels_version": "1.2.3",
+  "preprocessor_module": "zeromodels.models.sam3",
+  "preprocessor_class": "SAM3ImageProcessor",
+  "variant": "sam3",
+  "image_resolution": 1008,
+  "image_mean": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "image_std": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "rescale_factor": 0.00392156862745098
 }