Instructions to use ZenithsArch/Avalanche_Classification_Weights with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use ZenithsArch/Avalanche_Classification_Weights with Keras:
# !pip install -U keras tensorflow huggingface_hub # Keras needs TensorFlow installed to read "hf://" paths, so the tensorflow backend is selected here; # "jax" and "torch" also work for computation once TensorFlow is installed. import os os.environ["KERAS_BACKEND"] = "tensorflow" import keras model = keras.saving.load_model("hf://ZenithsArch/Avalanche_Classification_Weights") - Notebooks
- Google Colab
- Kaggle
Auto-upload trained weights for B_Sobel|EfficientNetV2S_Phase2
Browse files
.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 |
models/B_Sobel_EfficientNetV2S.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 |
models/B_Sobel_EfficientNetV2S.keras filter=lfs diff=lfs merge=lfs -text
|
| 37 |
+
models/B_Sobel_EfficientNetV2S_Phase2.keras filter=lfs diff=lfs merge=lfs -text
|
models/B_Sobel_EfficientNetV2S_Phase2.keras
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:da5009972b329c61738b8788b77de35f07cc083f21bf250b3e5325317a139355
|
| 3 |
+
size 145588592
|