Instructions to use KarimSayed/cat-breed-encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use KarimSayed/cat-breed-encoder with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://KarimSayed/cat-breed-encoder") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -57,7 +57,7 @@ predicted_breed = class_labels[np.argmax(predictions)]
|
|
| 57 |
|
| 58 |
print(f"Predicted Cat Breed: {predicted_breed}")
|
| 59 |
|
| 60 |
-
|
| 61 |
|
| 62 |
## Training Data
|
| 63 |
|
|
|
|
| 57 |
|
| 58 |
print(f"Predicted Cat Breed: {predicted_breed}")
|
| 59 |
|
| 60 |
+
```
|
| 61 |
|
| 62 |
## Training Data
|
| 63 |
|