Instructions to use ml-debi/EfficientNetB0-Food101 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use ml-debi/EfficientNetB0-Food101 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://ml-debi/EfficientNetB0-Food101") - Notebooks
- Google Colab
- Kaggle
Upload 3 files
Browse files- fingerprint.pb +3 -0
- keras_metadata.pb +3 -0
- saved_model.pb +3 -0
fingerprint.pb
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:8c33fcbfc55748d74c3cce9756e5f3af84449013547c8f9aadfb36532d5adcac
|
| 3 |
+
size 57
|
keras_metadata.pb
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c14634d6023e36cdf21bcb78c2dc2070f4a6477f16f116551c3f626f7e07ca16
|
| 3 |
+
size 893078
|
saved_model.pb
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:bff39e1de7e904149ce580258c57cb665781024df0efac96663cf43e590b3548
|
| 3 |
+
size 5203606
|