Instructions to use palra47906/Sound_Classification_Model_using_CNN_LSTM 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_LSTM 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_LSTM") - Notebooks
- Google Colab
- Kaggle
Delete Urbansound8K_CNN_LSTM.keras
Browse files
Urbansound8K_CNN_LSTM.keras
DELETED
|
@@ -1,3 +0,0 @@
|
|
| 1 |
-
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:12860d95624bcc2ae7b571819da62b815a0a56c6b7fe27783e08189a22484e04
|
| 3 |
-
size 51385512
|
|
|
|
|
|
|
|
|
|
|
|