diff --git a/README.md b/README.md index c1bb8be..8c42a2f 100644 --- a/README.md +++ b/README.md @@ -61,7 +61,7 @@ print(kimm.list_models("mobileone", weights="imagenet")) # Initialize model with pretrained ImageNet weights # Note: all `kimm` models expect inputs in the value range of [0, 255] by -# default if `incldue_preprocessing=True` +# default if `include_preprocessing=True` x = keras.random.uniform([1, 224, 224, 3]) * 255.0 model = kimm.models.MobileOneS0() y = model.predict(x) @@ -92,7 +92,7 @@ for feature_name, feature in features.items(): ``` > [!NOTE] -> All models in `kimm` expect inputs in the value range of [0, 255] by default if `incldue_preprocessing=True`. +> All models in `kimm` expect inputs in the value range of [0, 255] by default if `include_preprocessing=True`. > Some models only accept static inputs. You should explicitly specify the input shape for these models by `input_shape=[*, *, 3]`. ## Advanced Usage