register VideoPrism presets (keras-team#2609)

Author: sachinprasadhs

keras_hub/src/models/video_prism/video_prism_presets.py

@@ -1,3 +1,52 @@
 """VideoPrism model preset configurations."""
 
-backbone_presets = {}
+backbone_presets = {
+    "videoprism_public_v1_base": {
+        "metadata": {
+            "description": (
+                "114 million parameter, 12-layer ViT-B, 16-frame, 288x288 "
+                "resolution, video-only encoder for "
+                "spatiotemporal representation."
+            ),
+            "params": 114000000,
+            "path": "video_prism",
+        },
+        "kaggle_handle": "kaggle://keras/videoprism/keras/videoprism_public_v1_base/1",
+    },
+    "videoprism_public_v1_large": {
+        "metadata": {
+            "description": (
+                "354 million parameter, 24-layer ViT-L, 16-frame, 288x288 "
+                "resolution, video-only encoder for "
+                "spatiotemporal representation."
+            ),
+            "params": 354000000,
+            "path": "video_prism",
+        },
+        "kaggle_handle": "kaggle://keras/videoprism/keras/videoprism_public_v1_large/1",
+    },
+    "videoprism_lvt_public_v1_base": {
+        "metadata": {
+            "description": (
+                "248 million parameter, 12-layer ViT-B video encoder + text "
+                "encoder, 16-frame, 288x288 resolution, for multimodal "
+                "video-language tasks."
+            ),
+            "params": 248000000,
+            "path": "video_prism",
+        },
+        "kaggle_handle": "kaggle://keras/videoprism/keras/videoprism_lvt_public_v1_base/1",
+    },
+    "videoprism_lvt_public_v1_large": {
+        "metadata": {
+            "description": (
+                "580 million parameter, 24-layer ViT-L video encoder + text "
+                "encoder, 16-frame, 288x288 resolution, for multimodal "
+                "video-language tasks."
+            ),
+            "params": 580000000,
+            "path": "video_prism",
+        },
+        "kaggle_handle": "kaggle://keras/videoprism/keras/videoprism_lvt_public_v1_large/1",
+    },
+}

tools/checkpoint_conversion/convert_video_prism_checkpoints.py

@@ -2,12 +2,12 @@
 Convert VideoPrism checkpoints to the Keras format.
 
 The official repo is here:
-https://github.com/google-research/videoprism
+https://github.com/google-deepmind/videoprism
 
 Setup:
 
 ```shell
-git clone https://github.com/google-research/videoprism.git
+git clone https://github.com/google-deepmind/videoprism.git
 ```
 
 Usage: