Instructions to use lmazzon70/deeplab-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use lmazzon70/deeplab-v3 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("lmazzon70/deeplab-v3") - Notebooks
- Google Colab
- Kaggle
Download saved_model.pb from lmazzon70/deeplab-v3: direct link, hf CLI and curl.
- Browser
- Download file 2.84 MB
-
https://huggingface.co/lmazzon70/deeplab-v3/resolve/main/saved_model.pb
- Command line
-
hf download hf://lmazzon70/deeplab-v3/saved_model.pb
-
curl -L -o saved_model.pb https://huggingface.co/lmazzon70/deeplab-v3/resolve/main/saved_model.pb
2.84 MB
- Xet hash:
- 282c1338189b10a64afe1f29e26d8fb7a1dd2c2c9e77b06a91ebfb579d6e27f7
- Size of remote file:
- 2.84 MB
- SHA256:
- 38b381c5ffe7c5b4081259ae770d7443d73fb492894a4465b51b89a8c55d4fcd
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