Upload folder using huggingface_hub

README.md

@@ -0,0 +1,20 @@
+---
+library_name: keras-hub
+---
+This is a [`ViT` model](https://keras.io/api/keras_hub/models/vi_t) uploaded using the KerasHub library and can be used with JAX, TensorFlow, and PyTorch backends.
+Model config:
+* **name:** vi_t_backbone
+* **trainable:** True
+* **image_shape:** [224, 224, 3]
+* **patch_size:** 14
+* **num_layers:** 32
+* **num_heads:** 16
+* **hidden_dim:** 1280
+* **mlp_dim:** 5120
+* **dropout_rate:** 0.0
+* **attention_dropout:** 0.0
+* **layer_norm_epsilon:** 1e-06
+* **use_mha_bias:** True
+* **use_mlp_bias:** True
+
+This model card has been generated automatically and should be completed by the model author. See [Model Cards documentation](https://huggingface.co/docs/hub/model-cards) for more information.

config.json

@@ -0,0 +1,24 @@
+{
+    "module": "keras_hub.src.models.vit.vit_backbone",
+    "class_name": "ViTBackbone",
+    "config": {
+        "name": "vi_t_backbone",
+        "trainable": true,
+        "image_shape": [
+            224,
+            224,
+            3
+        ],
+        "patch_size": 14,
+        "num_layers": 32,
+        "num_heads": 16,
+        "hidden_dim": 1280,
+        "mlp_dim": 5120,
+        "dropout_rate": 0.0,
+        "attention_dropout": 0.0,
+        "layer_norm_epsilon": 1e-06,
+        "use_mha_bias": true,
+        "use_mlp_bias": true
+    },
+    "registered_name": "keras_hub>ViTBackbone"
+}

image_converter.json

@@ -0,0 +1,35 @@
+{
+    "module": "keras_hub.src.models.vit.vit_image_converter",
+    "class_name": "ViTImageConverter",
+    "config": {
+        "name": "vi_t_image_converter",
+        "trainable": true,
+        "dtype": {
+            "module": "keras",
+            "class_name": "DTypePolicy",
+            "config": {
+                "name": "float32"
+            },
+            "registered_name": null
+        },
+        "image_size": [
+            224,
+            224
+        ],
+        "scale": 0.00392156862745098,
+        "offset": null,
+        "interpolation": "bilinear",
+        "crop_to_aspect_ratio": true,
+        "norm_mean": [
+            0.5,
+            0.5,
+            0.5
+        ],
+        "norm_std": [
+            0.5,
+            0.5,
+            0.5
+        ]
+    },
+    "registered_name": "keras_hub>ViTImageConverter"
+}

metadata.json

@@ -0,0 +1,9 @@
+{
+    "keras_version": "3.7.0",
+    "keras_hub_version": "0.19.0",
+    "parameter_count": 630764800,
+    "date_saved": "2024-12-18@09:36:34",
+    "tasks": [
+        "ImageClassifier"
+    ]
+}

model.weights.h5

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4b458b702b257cbf3abb40da951492ca5de51be8f8f0b17119015c787db458bf
+size 2524207296

preprocessor.json

@@ -0,0 +1,53 @@
+{
+    "module": "keras_hub.src.models.vit.vit_image_classifier_preprocessor",
+    "class_name": "ViTImageClassifierPreprocessor",
+    "config": {
+        "name": "vi_t_image_classifier_preprocessor",
+        "trainable": true,
+        "dtype": {
+            "module": "keras",
+            "class_name": "DTypePolicy",
+            "config": {
+                "name": "float32"
+            },
+            "registered_name": null
+        },
+        "image_converter": {
+            "module": "keras_hub.src.models.vit.vit_image_converter",
+            "class_name": "ViTImageConverter",
+            "config": {
+                "name": "vi_t_image_converter",
+                "trainable": true,
+                "dtype": {
+                    "module": "keras",
+                    "class_name": "DTypePolicy",
+                    "config": {
+                        "name": "float32"
+                    },
+                    "registered_name": null
+                },
+                "image_size": [
+                    224,
+                    224
+                ],
+                "scale": 0.00392156862745098,
+                "offset": null,
+                "interpolation": "bilinear",
+                "crop_to_aspect_ratio": true,
+                "norm_mean": [
+                    0.5,
+                    0.5,
+                    0.5
+                ],
+                "norm_std": [
+                    0.5,
+                    0.5,
+                    0.5
+                ]
+            },
+            "registered_name": "keras_hub>ViTImageConverter"
+        },
+        "config_file": "preprocessor.json"
+    },
+    "registered_name": "keras_hub>ViTImageClassifierPreprocessor"
+}