diff --git a/keras_hub/src/models/backbone.py b/keras_hub/src/models/backbone.py
index 6e5f36afaa..41bccf04b3 100644
--- a/keras_hub/src/models/backbone.py
+++ b/keras_hub/src/models/backbone.py
@@ -130,7 +130,8 @@ def from_preset(
         1. a built-in preset identifier like `'bert_base_en'`
         2. a Kaggle Models handle like `'kaggle://user/bert/keras/bert_base_en'`
         3. a Hugging Face handle like `'hf://user/bert_base_en'`
-        4. a path to a local preset directory like `'./bert_base_en'`
+        4. a ModelScope handle like `'modelscope://user/bert_base_en'`
+        5. a path to a local preset directory like `'./bert_base_en'`
 
         This constructor can be called in one of two ways. Either from the base
         class like `keras_hub.models.Backbone.from_preset()`, or from
diff --git a/keras_hub/src/models/sam/sam_prompt_encoder.py b/keras_hub/src/models/sam/sam_prompt_encoder.py
index 81415f97f3..12b77f4a7d 100644
--- a/keras_hub/src/models/sam/sam_prompt_encoder.py
+++ b/keras_hub/src/models/sam/sam_prompt_encoder.py
@@ -67,7 +67,9 @@ def __init__(
         self.activation = activation
 
         self.positional_embedding_layer = RandomFrequencyPositionalEmbeddings(
-            num_positional_features=self.hidden_size // 2, scale=1
+            num_positional_features=self.hidden_size // 2,
+            scale=1,
+            dtype=self.dtype,
         )
 
         self.foreground_point_embed = keras.layers.Embedding(