Instructions to use funlab/DeepLoop-CPGZ-LoopDenoise with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use funlab/DeepLoop-CPGZ-LoopDenoise with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://funlab/DeepLoop-CPGZ-LoopDenoise") - Notebooks
- Google Colab
- Kaggle
Push Keras model using huggingface_hub.
Browse files- fingerprint.pb +2 -2
- saved_model.pb +2 -2
fingerprint.pb
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 sha256:6e560aac831cebd940c487d5f422e17013ba9276bc476bf062c410ae2da7e8f0
|
| 3 |
+
size 56
|
saved_model.pb
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:f8cc184b20e4d0369f4c9a8f900bb4b38bc210af63f5c05cb057020396eda64a
|
| 3 |
+
size 134465
|