Instructions to use LuisTo97/greenvisionmodel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use LuisTo97/greenvisionmodel 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("LuisTo97/greenvisionmodel") - Notebooks
- Google Colab
- Kaggle
Download keras_metadata.pb from LuisTo97/greenvisionmodel: direct link, hf CLI and curl.
- Browser
- Download file 576 kB
-
https://huggingface.co/LuisTo97/greenvisionmodel/resolve/main/keras_metadata.pb
- Command line
-
hf download hf://LuisTo97/greenvisionmodel/keras_metadata.pb
-
curl -L -o keras_metadata.pb https://huggingface.co/LuisTo97/greenvisionmodel/resolve/main/keras_metadata.pb
576 kB
- Xet hash:
- 7eb35e5c638c724d47d4de90ddd1df6805bb74f169e4e31917eb2f9f3ba75062
- Size of remote file:
- 576 kB
- SHA256:
- a67f2b7117e30c3f8595b82e31d70cb70a14893182248b5b89f4f5c6f7a8bd82
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.