Commit
•
58894bd
1
Parent(s):
07a701c
Update README.md with new model card content
Browse files
README.md
CHANGED
|
@@ -39,7 +39,7 @@ The following model checkpoints are provided by the Keras team. Weights have bee
|
|
| 39 |
input_data = np.ones(shape=(8, 224, 224, 3))
|
| 40 |
|
| 41 |
# Pretrained backbone
|
| 42 |
-
model = keras_hub.models.DenseNetBackbone.from_preset("
|
| 43 |
model(input_data)
|
| 44 |
|
| 45 |
# Randomly initialized backbone with a custom config
|
|
@@ -49,7 +49,7 @@ model = keras_hub.models.DenseNetBackbone(
|
|
| 49 |
model(input_data)
|
| 50 |
|
| 51 |
# Use densenet for image classification task
|
| 52 |
-
model = keras_hub.models.ImageClassifier.from_preset("
|
| 53 |
|
| 54 |
# User Timm presets directly from HuggingFace
|
| 55 |
model = keras_hub.models.ImageClassifier.from_preset('hf://timm/densenet121.tv_in1k')
|
|
@@ -61,7 +61,7 @@ model = keras_hub.models.ImageClassifier.from_preset('hf://timm/densenet121.tv_i
|
|
| 61 |
input_data = np.ones(shape=(8, 224, 224, 3))
|
| 62 |
|
| 63 |
# Pretrained backbone
|
| 64 |
-
model = keras_hub.models.DenseNetBackbone.from_preset("
|
| 65 |
model(input_data)
|
| 66 |
|
| 67 |
# Randomly initialized backbone with a custom config
|
|
@@ -71,7 +71,7 @@ model = keras_hub.models.DenseNetBackbone(
|
|
| 71 |
model(input_data)
|
| 72 |
|
| 73 |
# Use densenet for image classification task
|
| 74 |
-
model = keras_hub.models.ImageClassifier.from_preset("
|
| 75 |
|
| 76 |
# User Timm presets directly from HuggingFace
|
| 77 |
model = keras_hub.models.ImageClassifier.from_preset('hf://timm/densenet121.tv_in1k')
|
|
|
|
| 39 |
input_data = np.ones(shape=(8, 224, 224, 3))
|
| 40 |
|
| 41 |
# Pretrained backbone
|
| 42 |
+
model = keras_hub.models.DenseNetBackbone.from_preset("densenet_169_imagenet")
|
| 43 |
model(input_data)
|
| 44 |
|
| 45 |
# Randomly initialized backbone with a custom config
|
|
|
|
| 49 |
model(input_data)
|
| 50 |
|
| 51 |
# Use densenet for image classification task
|
| 52 |
+
model = keras_hub.models.ImageClassifier.from_preset("densenet_169_imagenet")
|
| 53 |
|
| 54 |
# User Timm presets directly from HuggingFace
|
| 55 |
model = keras_hub.models.ImageClassifier.from_preset('hf://timm/densenet121.tv_in1k')
|
|
|
|
| 61 |
input_data = np.ones(shape=(8, 224, 224, 3))
|
| 62 |
|
| 63 |
# Pretrained backbone
|
| 64 |
+
model = keras_hub.models.DenseNetBackbone.from_preset("hf://keras/densenet_169_imagenet")
|
| 65 |
model(input_data)
|
| 66 |
|
| 67 |
# Randomly initialized backbone with a custom config
|
|
|
|
| 71 |
model(input_data)
|
| 72 |
|
| 73 |
# Use densenet for image classification task
|
| 74 |
+
model = keras_hub.models.ImageClassifier.from_preset("hf://keras/densenet_169_imagenet")
|
| 75 |
|
| 76 |
# User Timm presets directly from HuggingFace
|
| 77 |
model = keras_hub.models.ImageClassifier.from_preset('hf://timm/densenet121.tv_in1k')
|