Instructions to use palra47906/Sound_Classification_model_using_CNN with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use palra47906/Sound_Classification_model_using_CNN with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://palra47906/Sound_Classification_model_using_CNN") - Notebooks
- Google Colab
- Kaggle
Upload 2 files
Browse files- .gitattributes +1 -0
- Urbansound8K_using_CNN.h5 +3 -0
- Urbansound8K_using_CNN.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 |
Urbansound8K.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 |
Urbansound8K.keras filter=lfs diff=lfs merge=lfs -text
|
| 37 |
+
Urbansound8K_using_CNN.keras filter=lfs diff=lfs merge=lfs -text
|
Urbansound8K_using_CNN.h5
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:27e8cf6ca1c38602acb8149189b77e5fe0babc5d61a0cf43ea2c2d0078dcf3a1
|
| 3 |
+
size 83825096
|
Urbansound8K_using_CNN.keras
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:59c8c383e7ddb08ad254c69529f9974cee924753f8ed15a1c47793290a8e2684
|
| 3 |
+
size 83811788
|