Instructions to use DeepakManola/Heart_Murmur with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use DeepakManola/Heart_Murmur with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://DeepakManola/Heart_Murmur") - Notebooks
- Google Colab
- Kaggle
Upload 2 files
Browse files- .gitattributes +1 -0
- lstm_model.h5 +3 -0
- lstm_model.keras +3 -0
.gitattributes
CHANGED
|
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
|
| 33 |
*.zip 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
|
|
|
|
|
|
| 33 |
*.zip 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 |
+
lstm_model.keras filter=lfs diff=lfs merge=lfs -text
|
lstm_model.h5
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:38ed1c7da28332ed63400cf1406024eeeafebc5f047aef6324fe278b89266492
|
| 3 |
+
size 169609136
|
lstm_model.keras
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c0cec22b4faf437ffe4f3e7dc372a7656ccf8b1a335bbef82536a2db8e990655
|
| 3 |
+
size 169593506
|