Rename to official model id; sync variant + links

README.md

@@ -21,7 +21,7 @@ tags:
 
 [![GitHub](https://img.shields.io/badge/GitHub-KerasFormers-black?logo=github)](https://github.com/IMvision12/KerasFormers) [![Docs](https://img.shields.io/badge/Docs-DINO-blue)](https://imvision12.github.io/KerasFormers/dino/) [![Collection](https://img.shields.io/badge/HF-DINO%20collection-yellow)](https://huggingface.co/collections/kerasformers/dino-v1-v2-v3-6a6a94f8281a2f373f70e769)
 
-# kerasformers/dino_vitb8
+# kerasformers/dino-vitb8
 
 Paper: [Emerging Properties in Self-Supervised Vision Transformers (arXiv:2104.14294)](https://arxiv.org/abs/2104.14294) · [HF Papers](https://huggingface.co/papers/2104.14294)
 
@@ -44,9 +44,9 @@ from kerasformers.models.dino import DinoViTModel, DinoImageProcessor
 # The processor resizes + ImageNet-normalizes, so build the model with
 # include_normalization=False (it would otherwise normalize a second time).
 model = DinoViTModel.from_weights(
-    "kerasformers/dino_vitb8", include_normalization=False
+    "kerasformers/dino-vitb8", include_normalization=False
 )
-processor = DinoImageProcessor.from_weights("kerasformers/dino_vitb8")
+processor = DinoImageProcessor.from_weights("kerasformers/dino-vitb8")
 
 pixel_values = processor("your_image.jpg")["pixel_values"]
 features = model(pixel_values, training=False)
@@ -57,17 +57,17 @@ Load any DINO variant the same way with `from_weights("kerasformers/<variant>")`
 
 | Variant | Hub | Backbone |
 |---|---|---|
-| `dino_vits16` | [`kerasformers/dino_vits16`](https://huggingface.co/kerasformers/dino_vits16) | ViT-S/16 |
-| `dino_vits8` | [`kerasformers/dino_vits8`](https://huggingface.co/kerasformers/dino_vits8) | ViT-S/8 |
-| `dino_vitb16` | [`kerasformers/dino_vitb16`](https://huggingface.co/kerasformers/dino_vitb16) | ViT-B/16 |
-| `dino_vitb8` | [`kerasformers/dino_vitb8`](https://huggingface.co/kerasformers/dino_vitb8) | ViT-B/8 |
-| `dino_resnet50` | [`kerasformers/dino_resnet50`](https://huggingface.co/kerasformers/dino_resnet50) | ResNet-50 |
+| `dino-vits16` | [`kerasformers/dino-vits16`](https://huggingface.co/kerasformers/dino-vits16) | ViT-S/16 |
+| `dino-vits8` | [`kerasformers/dino-vits8`](https://huggingface.co/kerasformers/dino-vits8) | ViT-S/8 |
+| `dino-vitb16` | [`kerasformers/dino-vitb16`](https://huggingface.co/kerasformers/dino-vitb16) | ViT-B/16 |
+| `dino-vitb8` | [`kerasformers/dino-vitb8`](https://huggingface.co/kerasformers/dino-vitb8) | ViT-B/8 |
+| `dino-resnet50` | [`kerasformers/dino-resnet50`](https://huggingface.co/kerasformers/dino-resnet50) | ResNet-50 |
 
 ## Tips
 
 - Set `KERAS_BACKEND` **before** importing Keras / kerasformers.
 - The processor normalizes; pair it with `include_normalization=False`. To skip it, feed raw `[0, 255]` pixels and keep the default `include_normalization=True`.
-- `dino_resnet50` was converted from torch.hub `facebookresearch/dino`.
+- `dino-resnet50` was converted from torch.hub `facebookresearch/dino`.
 - See [DINO docs](https://imvision12.github.io/KerasFormers/dino/) and [Loading Weights](https://imvision12.github.io/KerasFormers/loading_weights/).
 - Community / upstream weights: `DinoViTModel.from_weights("hf:facebook/dino-vitb8")`.