Instructions to use HyzeAI/HyzeACR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use HyzeAI/HyzeACR 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("HyzeAI/HyzeACR") - Notebooks
- Google Colab
- Kaggle
Download model.savedmodel/saved_model.pb from HyzeAI/HyzeACR: direct link, hf CLI and curl.
- Browser
- Download file 5.26 MB
-
https://huggingface.co/HyzeAI/HyzeACR/resolve/main/model.savedmodel/saved_model.pb
- Command line
-
hf download hf://HyzeAI/HyzeACR/model.savedmodel/saved_model.pb
-
curl -L -o saved_model.pb https://huggingface.co/HyzeAI/HyzeACR/resolve/main/model.savedmodel/saved_model.pb
5.26 MB
- Xet hash:
- c354d583f829072e0f9788c243b9045ea7b300b6bf612230b263238caa3b563c
- Size of remote file:
- 5.26 MB
- SHA256:
- db1e157dac598c41a13769afa1f0648b6e7974ee9e0b2c27ec32a1724fe96d83
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.