Instructions to use PhucMap/ViPunctRestoration with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use PhucMap/ViPunctRestoration with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://PhucMap/ViPunctRestoration") - Notebooks
- Google Colab
- Kaggle
Upload ViPunctRestoration_base.keras
Browse files- .gitattributes +1 -0
- ViPunctRestoration_base.keras +3 -0
.gitattributes
CHANGED
|
@@ -34,3 +34,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
|
| 34 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
| 35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
| 36 |
ViPunctRestoration.keras filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
| 34 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
| 35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
| 36 |
ViPunctRestoration.keras filter=lfs diff=lfs merge=lfs -text
|
| 37 |
+
ViPunctRestoration_base.keras filter=lfs diff=lfs merge=lfs -text
|
ViPunctRestoration_base.keras
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:8d0a2dbb723586b70a9995ef3359b338795e98186ea012a8c62d0db8b5e24043
|
| 3 |
+
size 585228888
|