Instructions to use abdelac/FakeImageModelKeras with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use abdelac/FakeImageModelKeras with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://abdelac/FakeImageModelKeras") - Notebooks
- Google Colab
- Kaggle
Upload feature_extractor.h5
Browse files- feature_extractor.h5 +3 -0
feature_extractor.h5
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2e729fa3a5185a9aac16dbbe826c8540b90fa0b0ad754fde1b009c500ffaf4be
|
| 3 |
+
size 227819080
|