Instructions to use pufanyi/SC4000-MobileNetV3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use pufanyi/SC4000-MobileNetV3 with TF-Keras:
# Note: 'keras<3.x' or 'tf_keras' must be installed (legacy), and from_pretrained_keras was removed in huggingface_hub 1.0. # See https://github.com/keras-team/tf-keras for more details. # !pip install "huggingface_hub<1.0" tf_keras from huggingface_hub import from_pretrained_keras model = from_pretrained_keras("pufanyi/SC4000-MobileNetV3") - Notebooks
- Google Colab
- Kaggle
Download saved_model.pb from pufanyi/SC4000-MobileNetV3: direct link, hf CLI and curl.
- Browser
- Download file 3.22 MB
-
https://huggingface.co/pufanyi/SC4000-MobileNetV3/resolve/main/saved_model.pb
- Command line
-
hf download hf://pufanyi/SC4000-MobileNetV3/saved_model.pb
-
curl -L -o saved_model.pb https://huggingface.co/pufanyi/SC4000-MobileNetV3/resolve/main/saved_model.pb
3.22 MB
- Xet hash:
- 10a04fbbaf05aaadef82de7f4294a9ec129069a42bf542c94266259d4091f3cb
- Size of remote file:
- 3.22 MB
- SHA256:
- 7794aa91adb3a26a89d2ee31dfaa26602090209c5526e3b8e361ca8f2bc4053b
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