Instructions to use valencar/modelo_raios_x with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use valencar/modelo_raios_x 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("valencar/modelo_raios_x") - Notebooks
- Google Colab
- Kaggle
Download saved_model.pb from valencar/modelo_raios_x: direct link, hf CLI and curl.
- Browser
- Download file 10.1 MB
-
https://huggingface.co/valencar/modelo_raios_x/resolve/main/saved_model.pb
- Command line
-
hf download hf://valencar/modelo_raios_x/saved_model.pb
-
curl -L -o saved_model.pb https://huggingface.co/valencar/modelo_raios_x/resolve/main/saved_model.pb
10.1 MB
- Xet hash:
- a2794adbf482461385f6c288d7de4c9f2eddc5c6eb7140956922a15042d02233
- Size of remote file:
- 10.1 MB
- SHA256:
- 38e8a72879b74bda24ae71931c9e501c12499b226c8aec587f8d332d5c57bd32
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