Instructions to use vedaco/Tera.v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use vedaco/Tera.v3 with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://vedaco/Tera.v3") - Notebooks
- Google Colab
- Kaggle
Upload stable.weights.h5 with huggingface_hub
Browse files- stable.weights.h5 +2 -2
stable.weights.h5
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:0f7d4efa24327595011ac81c3f84488a92c8985b6ffcba0f9de70d660c3b10b9
|
| 3 |
+
size 4263184
|