Instructions to use sdhaos/Aminatron with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use sdhaos/Aminatron with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://sdhaos/Aminatron") - Notebooks
- Google Colab
- Kaggle
Upload aminatron.pt with huggingface_hub
Browse files- aminatron.pt +3 -0
aminatron.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7eb32830b642d2484cfa9d9c34907ab004e230a4a92d9c0d0d285e4e46e9969b
|
| 3 |
+
size 40686155
|