Instructions to use shivammmmmmm/image-classification-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use shivammmmmmm/image-classification-models with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://shivammmmmmm/image-classification-models") - Notebooks
- Google Colab
- Kaggle
Upload models/model_3.keras with huggingface_hub
Browse files- .gitattributes +1 -0
- models/model_3.keras +3 -0
.gitattributes
CHANGED
|
@@ -1,2 +1,3 @@
|
|
| 1 |
models/model_1.keras filter=lfs diff=lfs merge=lfs -text
|
| 2 |
models/model_2.keras filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
| 1 |
models/model_1.keras filter=lfs diff=lfs merge=lfs -text
|
| 2 |
models/model_2.keras filter=lfs diff=lfs merge=lfs -text
|
| 3 |
+
models/model_3.keras filter=lfs diff=lfs merge=lfs -text
|
models/model_3.keras
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:27ea8142d2a36a49b75f5daed9fa5b28a7f6ed9a94731a2e6cf38598b6aeeb21
|
| 3 |
+
size 124466666
|