Instructions to use Chizzsam/vton-checkpoints with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Chizzsam/vton-checkpoints with Keras:
# !pip install -U keras tensorflow huggingface_hub # Keras needs TensorFlow installed to read "hf://" paths, so the tensorflow backend is selected here; # "jax" and "torch" also work for computation once TensorFlow is installed. import os os.environ["KERAS_BACKEND"] = "tensorflow" import keras model = keras.saving.load_model("hf://Chizzsam/vton-checkpoints") - Notebooks
- Google Colab
- Kaggle
Upload model_epoch_5.keras with huggingface_hub
Browse files- .gitattributes +1 -0
- model_epoch_5.keras +3 -0
.gitattributes
CHANGED
|
@@ -38,3 +38,4 @@ ckpt-2.data-00000-of-00001 filter=lfs diff=lfs merge=lfs -text
|
|
| 38 |
ckpt-3.data-00000-of-00001 filter=lfs diff=lfs merge=lfs -text
|
| 39 |
ckpt-4.data-00000-of-00001 filter=lfs diff=lfs merge=lfs -text
|
| 40 |
ckpt-5.data-00000-of-00001 filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
| 38 |
ckpt-3.data-00000-of-00001 filter=lfs diff=lfs merge=lfs -text
|
| 39 |
ckpt-4.data-00000-of-00001 filter=lfs diff=lfs merge=lfs -text
|
| 40 |
ckpt-5.data-00000-of-00001 filter=lfs diff=lfs merge=lfs -text
|
| 41 |
+
model_epoch_5.keras filter=lfs diff=lfs merge=lfs -text
|
model_epoch_5.keras
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b35666956607eb0c86c2dda57ecaa781e34705255a7190d3d50368a3aa4f9d7e
|
| 3 |
+
size 35093223
|