Instructions to use CaptainHaaz/FERmodelCNN with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use CaptainHaaz/FERmodelCNN with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://CaptainHaaz/FERmodelCNN") - Notebooks
- Google Colab
- Kaggle
Set `library_name` to `tf-keras`.
#1
by Wauplin HF Staff - opened
README.md
CHANGED
|
@@ -1,6 +1,6 @@
|
|
| 1 |
---
|
| 2 |
-
pipeline_tag: image-classification
|
| 3 |
datasets:
|
| 4 |
- Jeneral/fer-2013
|
| 5 |
-
library_name: keras
|
| 6 |
-
-
|
|
|
|
|
|
| 1 |
---
|
|
|
|
| 2 |
datasets:
|
| 3 |
- Jeneral/fer-2013
|
| 4 |
+
library_name: tf-keras
|
| 5 |
+
pipeline_tag: image-classification
|
| 6 |
+
---
|