Instructions to use jmparejaz/Facial_eth_recognition with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use jmparejaz/Facial_eth_recognition 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("jmparejaz/Facial_eth_recognition") - Notebooks
- Google Colab
- Kaggle
Download saved_model.pb from jmparejaz/Facial_eth_recognition: direct link, hf CLI and curl.
- Browser
- Download file 132 kB
-
https://huggingface.co/jmparejaz/Facial_eth_recognition/resolve/main/saved_model.pb
- Command line
-
hf download hf://jmparejaz/Facial_eth_recognition/saved_model.pb
-
curl -L -o saved_model.pb https://huggingface.co/jmparejaz/Facial_eth_recognition/resolve/main/saved_model.pb
132 kB
- Xet hash:
- f8cb814b5ab9f5595da561235cab0c4da227f17fb129a6ab2fcd82b1369c630b
- Size of remote file:
- 132 kB
- SHA256:
- e0a062d682d6e8d63c598298ab1a461fcf8e79a6b6350fd2326e670c135fe9fc
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