Instructions to use shifa-ds/brain-breast with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use shifa-ds/brain-breast with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://shifa-ds/brain-breast") - Notebooks
- Google Colab
- Kaggle
Upload resnet_model.h5
Browse files- resnet_model.h5 +3 -0
resnet_model.h5
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e72041215bc55649bb1f791e83f507405b508670ad8274a7dfb1f939e2d98768
|
| 3 |
+
size 98097928
|